Final Project: Comparative Sentiment Analysis in Traditional vs. Digital Banking: The Case of Deutsche Bank and N26

By Nanmanat Disayakamonpan

Text Analysis and Natural Language Processing, Constructor University

Table of Contents

1. Sample, Data, Corpus

• 1.1 Importing Libraries

• 1.2 Web Scraping for Extracting Data

• 1.3 Understanding the Data

• 1.4 Checking Missing Values

2. Descriptive Statistics

• 2.1 Exploratory Data Analysis (EDA)

• 2.2 Text Exploratory before Preprocessing Steps

• 2.3 Preprocessing Steps for Text Analysis

3. Main Analysis and Methodology

• 3.1 Text Mining after Preprocessing Steps

• 3.2 Topic Modeling

• 3.3 Clustering Classification

• 3.4 Employee Sentiment Analysis

4. Results

1. Sample, Data, Corpus

1.1 Importing Libraries

I imported essential Python libraries for data analysis, natural language processing (NLP), machine learning, and visualization.

# Data Analysis: 
import pandas as pd

# Numerical Computing/Mathematical Operations: 
import numpy as np 

# Data Visualization: 
import matplotlib.pyplot as plt 
import seaborn as sns 

# Natural Language Processing (NLP):
import re # for regular expressions.
import textblob # for simple NLP tasks like sentiment analysis.
import nltk # for NLP tasks such as tokenization and part-of-speech tagging
from nltk.tokenize import word_tokenize
from nltk.stem import WordNetLemmatizer
from nltk import ngrams
import spacy # for efficient NLP processing and pre-trained models
import gensim # for topic modeling and document similarity
from gensim.corpora import Dictionary # for topic modeling
from gensim.models.ldamodel import LdaModel # for topic modeling 

# Machine Learning: 
import sklearn # for machine learning algorithms and evaluation metrics

# Other Utilities:
import warnings #  for handling warning messages.
warnings.filterwarnings('ignore')
from bs4 import BeautifulSoup # for web scraping
from wordcloud import WordCloud # for word cloud generation
from transformers import pipeline # for Hugging Face's transformers.
from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer # for converting text data into numerical features
from collections import Counter # for calculating the frequency of elements in a collection.
from sklearn.cluster import KMeans # for clustering
from sklearn.metrics import silhouette_score # for evaluation metrics
from spacy.lang.en import English # for tokenizing English text.
from spacy.lang.en.stop_words import STOP_WORDS # A set of common stop words are often filtered out during text processing tasks.

1.2 Web Scraping for Extracting Data

The qualitative data source for this study consists of employee reviews extracted by web scraping from the Glassdoor platform, representing two distinct entities within the financial sector: Deutsche Bank, a traditional banking institution, and N26, a prominent FinTech company.

# Define the file paths for the HTML files
html_files = [
    'Deutsche_Bank_Reviews1.html',
    'Deutsche_Bank_Reviews2.html',
    'Deutsche_Bank_Reviews3.html',
    'Deutsche_Bank_Reviews4.html',
    'Deutsche_Bank_Reviews5.html',
    'Deutsche_Bank_Reviews6.html',
    'Deutsche_Bank_Reviews7.html',
    'Deutsche_Bank_Reviews8.html',
    'Deutsche_Bank_Reviews9.html',
    'Deutsche_Bank_Reviews10.html',
    'Deutsche_Bank_Reviews11.html',
    'Deutsche_Bank_Reviews12.html',
    'Deutsche_Bank_Reviews13.html',
    'Deutsche_Bank_Reviews14.html',
    'Deutsche_Bank_Reviews15.html',
    'Deutsche_Bank_Reviews16.html',
    'Deutsche_Bank_Reviews17.html',
    'Deutsche_Bank_Reviews18.html',
    'Deutsche_Bank_Reviews19.html',
    'Deutsche_Bank_Reviews20.html'
]

# Function to extract data from a single HTML file
def extract_data_from_html(file_path):
    with open(file_path, 'r', encoding='utf-8') as file:
        html_content = file.read()
    soup = BeautifulSoup(html_content, 'html.parser')
    employee_titles, locations, pros, cons, ratings = [], [], [], [], []
    for tag in soup.find_all(class_="review-details_employee__MeSp3"):
        employee_titles.append(tag.text.strip() if tag else "null")
    for tag in soup.find_all(class_="review-details_location__xxMP7"):
        locations.append(tag.text.strip() if tag else "null")
    for tag in soup.select('span[data-test="review-text-pros"]'):
        pros.append(tag.get_text(strip=True))
    for tag in soup.select('span[data-test="review-text-cons"]'):
        cons.append(tag.get_text(strip=True))
    for tag in soup.find_all(class_="review-details_overallRating__Rxhdr"):
        ratings.append(tag.text.strip() if tag else "null")
    max_len = max(len(employee_titles), len(locations), len(pros), len(cons), len(ratings))
    employee_titles += [None] * (max_len - len(employee_titles))
    locations += [None] * (max_len - len(locations))
    pros += [None] * (max_len - len(pros))
    cons += [None] * (max_len - len(cons))
    ratings += [None] * (max_len - len(ratings))
    return pd.DataFrame({
        "Employee Title": employee_titles,
        "Location": locations,
        "Pros": pros,
        "Cons": cons,
        "Rating": ratings
    })

# Extract data from all HTML files and combine them
all_data_dfs = [extract_data_from_html(file) for file in html_files]
db = pd.concat(all_data_dfs, ignore_index=True)
db['Company Name'] = 'Deutsche Bank'

# Save the combined dataframe to a CSV file (appending to the existing one or creating a new one)
combined_csv_file_path = "DeutschBank_Reviews_combined.csv"
db.to_csv(combined_csv_file_path, index=False)

combined_csv_file_path, db.shape

('DeutschBank_Reviews_combined.csv', (200, 6))

# Define the file paths for the HTML files
html_files2 = [
    'N26_Reviews1.html',
    'N26_Reviews2.html',
    'N26_Reviews3.html',
    'N26_Reviews4.html',
    'N26_Reviews5.html',
    'N26_Reviews6.html',
    'N26_Reviews7.html',
    'N26_Reviews8.html',
    'N26_Reviews9.html',
    'N26_Reviews10.html',
    'N26_Reviews11.html',
    'N26_Reviews12.html',
    'N26_Reviews13.html',
    'N26_Reviews14.html',
    'N26_Reviews15.html',
    'N26_Reviews16.html',
    'N26_Reviews17.html',
    'N26_Reviews18.html',
    'N26_Reviews19.html',
    'N26_Reviews20.html'
]

# Function to extract data from a single HTML file
def extract_data_from_html(file_path):
    with open(file_path, 'r', encoding='utf-8') as file:
        html_content = file.read()
    soup = BeautifulSoup(html_content, 'html.parser')
    employee_titles, locations, pros, cons, ratings = [], [], [], [], []
    for tag in soup.find_all(class_="review-details_employee__MeSp3"):
        employee_titles.append(tag.text.strip() if tag else "null")
    for tag in soup.find_all(class_="review-details_location__xxMP7"):
        locations.append(tag.text.strip() if tag else "null")
    for tag in soup.select('span[data-test="review-text-pros"]'):
        pros.append(tag.get_text(strip=True))
    for tag in soup.select('span[data-test="review-text-cons"]'):
        cons.append(tag.get_text(strip=True))
    for tag in soup.find_all(class_="review-details_overallRating__Rxhdr"):
        ratings.append(tag.text.strip() if tag else "null")
    max_len = max(len(employee_titles), len(locations), len(pros), len(cons), len(ratings))
    employee_titles += [None] * (max_len - len(employee_titles))
    locations += [None] * (max_len - len(locations))
    pros += [None] * (max_len - len(pros))
    cons += [None] * (max_len - len(cons))
    ratings += [None] * (max_len - len(ratings))
    return pd.DataFrame({
        "Employee Title": employee_titles,
        "Location": locations,
        "Pros": pros,
        "Cons": cons,
        "Rating": ratings
    })

# Extract data from all HTML files and combine them
all_data_dfs2 = [extract_data_from_html(file) for file in html_files2]
n26 = pd.concat(all_data_dfs2, ignore_index=True)
n26['Company Name'] = 'N26'

# Save the combined dataframe to a CSV file (appending to the existing one or creating a new one)
combined_csv_file_path = "N26_Reviews_combined.csv"
n26.to_csv(combined_csv_file_path, index=False)

combined_csv_file_path, n26.shape

('N26_Reviews_combined.csv', (200, 6))

1.3 Understanding the Data

There are two datasets (“db” and “n26”) which are job reviews from Deutsche Bank and N26. Each dataset has 200 observations, ensuring a balanced representation to mitigate potential biases arising from dataset size discrepancies.

Each dataset has six features, including five categorical variables: Employee Title, Location, Pros, Cons, and Company Name. Additionally, a numerical variable is the Rating provided by employees. The "Pros" and "Cons" columns consist of positive and negative sentiments based on the respective organizations' work environments, facilitating comparative analysis between Deutsche Bank and N26 across various dimensions such as work-life balance, compensation, organizational culture, and more.

I intend to analyze only the most recent Glassdoor reviews to ensure that my findings reflect the organization's current status. Core sampling characteristics include the review's sentiment, specific mentions of organizational aspects, and overall employee satisfaction.

Below are the feature names of both datasets along with their descriptions.

Table 1: The feature names of both datasets along with their descriptions.

Variable Name	Description	Values
Employee Title	Employee's Job Title/Position	Categorical: e.g. Sales Manager/ Senior Analyst/ Business Analyst/ Anonymous Employee
Location	Office Location in Germany (City, Region)	Cetegorical: e.g. Munich, Bavaria/ Franfurt am Main/ Berlin
Pros	Positive Reviews	Categorical: e.g. Good pay and fair working hours
Cons	Negative Reviews	Categorical: e.g. Old systems and lack of flexibility
Rating	Company's Ratings from Employees	Numeric: from 1 to 5
Company Name	Tradition Bank/Fintech Company	Cetegorical: “Deutsche Bank” or “N26”

db.head(10)

	Employee Title	Location	Pros	Cons	Rating	Company Name
0	Compliance Analyst	Berlin	The environment within the team was open and n...	The temporary contract and the salary	5.0	Deutsche Bank
1	Vice President M&A	Frankfurt am Main	Deutsche Bank in Germany still kind of #1, and...	Globally lacking behind BB US banks, but keeps...	5.0	Deutsche Bank
2	Graduate Trainee In Technology/Digital	Frankfurt am Main	The job stands for a very good work-life balance.	Less challenging for career beginners.	4.0	Deutsche Bank
3	Internship	Frankfurt am Main	Flexible work and 39h/ week	In Corona times difficult to network	4.0	Deutsche Bank
4	Corporate Treasury Sales	Frankfurt am Main	Trading floor experience and good socials	Monotone work and no good training	4.0	Deutsche Bank
5	Risk Analyst	Berlin	Flexible working hours, good work-life balance	There is not many Career Development Opportuni...	4.0	Deutsche Bank
6	Bank Assistant	Hamburg	Helpful for everyone job seeker	i dont know anything about it thank you so much	4.0	Deutsche Bank
7	Analyst	Frankfurt am Main	Friendly and helpful environment, good payment	Heavy workload sometimes 100h weeks \nLittle t...	4.0	Deutsche Bank
8	CIB Operation Regional Lead	Frankfurt am Main	Work Life balance, Pay is okay	Internal promotion is difficult Politics	4.0	Deutsche Bank
9	Internship	Frankfurt am Main	Facilities, relaxed working hours, opportunity...	Responsibility, a lot of admin work	2.0	Deutsche Bank

print(db.describe())

       Employee Title Location  \
count             200      200   
unique            125       15   
top            Intern   Berlin   
freq               12       92   

                                                     Pros  \
count                                                 200   
unique                                                200   
top     The environment within the team was open and n...   
freq                                                    1   

                                         Cons Rating   Company Name  
count                                     200    200            200  
unique                                    200      5              1  
top     The temporary contract and the salary    4.0  Deutsche Bank  
freq                                        1     95            200  

n26.head(10)

	Employee Title	Location	Pros	Cons	Rating	Company Name
0	Anonymous Employee	Berlin	Good teams and setups, solid Ways of working	Management crisis, high turnover on management...	3.0	N26
1	Senior Software Engineer	Berlin	Work environment relaxed, even better after th...	Management is not really ready to listen opini...	2.0	N26
2	Anonymous Employee	Berlin	The teams have some of the nicest and hard wor...	The managers in this company do not support th...	1.0	N26
3	User Researcher	Berlin	Diverse work, lot's of in-house talent	Some uncertainty with organisation direction	4.0	N26
4	Analytics Engineer	Berlin	Wonderful people to work with and state of the...	Project workflow can be lost in the thread whe...	3.0	N26
5	International Customer Support Specialist	Berlin	Good place to work in general	Not so much chance of growth	3.0	N26
6	Compliance Specialist	Berlin	the company still is quite interesting	the salary is quite low	3.0	N26
7	Product Designer	Berlin	Great people. Fun product. Learnt so much	Too many layers in the org after scaling a lot...	5.0	N26
8	Backend Engineer	Berlin	good vibes\ngood peoples\nnice office in the c...	problems with budget regarding salary updates	4.0	N26
9	Senior Product Analyst	Berlin	Full Remote work. The product analytics team i...	Product leaders need more focus on being more ...	3.0	N26

print(n26.describe())

            Employee Title Location  \
count                  200      200   
unique                 129        1   
top     Anonymous Employee   Berlin   
freq                    21      200   

                                                Pros  \
count                                            200   
unique                                           200   
top     Good teams and setups, solid Ways of working   
freq                                               1   

                                                     Cons Rating Company Name  
count                                                 200    200          200  
unique                                                200      5            1  
top     Management crisis, high turnover on management...    4.0          N26  
freq                                                    1     56          200  

1.4 Checking Missing Values

After creating two dataframes, I checked each dataset to identify missing values. This information is crucial for understanding the completeness of the dataset and determining any necessary data cleaning or imputation steps before analysis. From the output, I observed that both DataFrames have none of missing values in any column.

# Check for missing values in the db DataFrame
db_missing_values = db.isnull().sum()
print("Missing values in db DataFrame:")
print(db_missing_values)

# Check for missing values in the n26 DataFrame
n26_missing_values = n26.isnull().sum()
print("\nMissing values in n26 DataFrame:")
print(n26_missing_values)

Missing values in db DataFrame:
Employee Title    0
Location          0
Pros              0
Cons              0
Rating            0
Company Name      0
dtype: int64

Missing values in n26 DataFrame:
Employee Title    0
Location          0
Pros              0
Cons              0
Rating            0
Company Name      0
dtype: int64

2. Descriptive Statistics

2.1 Exploratory Data Analysis (EDA)

(1) Work Location

First, I would like to compare the distribution of office locations by the number of employees for Deutsche Bank and N26, respectively, by creating a bar graph for each company.

db_location = db['Location'].value_counts().sort_index()
n26_location = n26['Location'].value_counts().sort_index()

# Create a figure with the desired size
fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(15, 6))  # Adjust the figsize as needed

# Deutsche Bank
db_location.sort_values().plot(kind='barh', color='darkblue', ax=axes[0])
axes[0].set_title('Location Distribution for Deutsche Bank')
axes[0].set_xlabel('Number of Employees')
axes[0].set_ylabel('Office Location')

# N26
n26_location.sort_values().plot(kind='barh', color='mediumseagreen', ax=axes[1])
axes[1].set_title('Location Distribution for N26')
axes[1].set_xlabel('Number of Employees')
axes[1].set_ylabel('Office Location')

plt.tight_layout()
plt.show()

On the left, the Deutsche Bank graph has multiple locations, with Berlin having the highest number of employees. Other cities, such as Frankfurt am Main, Eschborn, and Munich, also have significant numbers of employees but fewer than Berlin.

The graphs visually represent that Deutsche Bank has a broader distribution of office locations throughout Germany, while N26 appears to be highly centralized in Berlin.

(2) Employee Job Title/Position

Secondly, I used pie charts to represent the top 10 employee job titles/positions at Deutsche Bank and N26.

db_emptitle = db['Employee Title'].value_counts().sort_index()
n26_emptitle = n26['Employee Title'].value_counts().sort_index()

# Define custom color palettes for each pie chart
db_colors = plt.cm.Blues(np.linspace(0.2, 1, 10))  # Shades of blue for Deutsche Bank
n26_colors = plt.cm.Greens(np.linspace(0.2, 1, 10))  # Shades of green for N26

# Plot the pie charts with custom color palettes
fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(20, 10))

# Deutsche Bank
db_emptitle.sort_values(ascending=False).head(10).plot(kind='pie', ax=axes[0], autopct='%1.1f%%', colors=db_colors)
axes[0].set_ylabel('')
axes[0].set_title('Top 10 Employee Titles at Deutsche Bank')

# N26
n26_emptitle.sort_values(ascending=False).head(10).plot(kind='pie', ax=axes[1], autopct='%1.1f%%', colors=n26_colors)
axes[1].set_ylabel('')
axes[1].set_title('Top 10 Employee Titles at N26')

plt.tight_layout()
plt.show()

For Deutsche Bank (left chart, shaded in blues), the largest segment is 'Intern', making up 16.7% of the top positions and the second largest is 'Vice President', with 15.3%. Additionally, 'Software Engineer' and 'Anonymous Employee' accounts for 12.5% and 9.7%, respectively.

For N26 (right chart, shaded in greens), 'Anonymous Employee' dominates the chart with a significant 36.2% and 'Software Engineer' is also notable at 10.3%. In addition, ‘Recruiter’ and ‘Intern’ follow the same proportion, for 8.6%.

(3) Distribution in the Ratings

For the Rating column, I created two bar charts to display the distribution of ratings for Deutsche Bank and N26.

# Create subplots with 1 row and 2 columns
fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(25, 8))

# Plotting ratings distribution of Deutsche Bank
db_ratings = db['Rating'].value_counts().sort_index()
total_db_reviews = db_ratings.sum()
db_ratings_percent = db_ratings / total_db_reviews * 100
db_ratings.plot(kind='bar', color='darkblue', ax=axes[0])
axes[0].set_title('Ratings Distribution of Deutsche Bank')
axes[0].set_xlabel('Rating for Deutsche Bank')
axes[0].set_ylabel('Number of Reviews')
axes[0].tick_params(axis='x', rotation=0)

# Annotate each bar with its value for Deutsche Bank
for i, (value, percent) in enumerate(zip(db_ratings, db_ratings_percent)):
    axes[0].text(i, value, f'{value}\n({percent:.1f}%)', ha='center', va='bottom')

# Plotting ratings distribution of N26
n26_ratings = n26['Rating'].value_counts().sort_index()
total_n26_reviews = n26_ratings.sum()
n26_ratings_percent = n26_ratings / total_n26_reviews * 100
n26_ratings.plot(kind='bar', color='mediumseagreen', ax=axes[1])
axes[1].set_title('Ratings Distribution of N26')
axes[1].set_xlabel('Rating for N26')
axes[1].set_ylabel('Number of Reviews')
axes[1].tick_params(axis='x', rotation=0)

# Annotate each bar with its value for N26
for i, (value, percent) in enumerate(zip(n26_ratings, n26_ratings_percent)):
    axes[1].text(i, value, f'{value}\n({percent:.1f}%)', ha='center', va='bottom')

plt.tight_layout()
plt.show()

For Deutsche Bank, the chart shows that the majority of reviews are very positive, with 95 (~47.5%) and 55 reviews (~27.5%) at a 4 and 5-star rating, respectively. Meanwhile, the most common ratin of N26 is 4 stars, with 28% or 56 reviews. Both 5-star and 3-star ratings have 46 reviews or 23% each. Interestingly, both companies have a higher concentration of 4-star and 5-star ratings, indicating generally positive feedback.

2.2 Text Exploratory before Preprocessing Steps

(1) Total Word Count in Reviews

For this step, I would like to show the total word count in the 'Pros' and 'Cons' reviews for Deutsche Bank and N26 before preprocessing. It splits each review into words and sums up the word counts for both 'Pros' and 'Cons' separately for each company.

# Total word count in 'Pros' and 'Cons'
db_wordcount_pros = db['Pros'].apply(lambda x: len(x.split())).sum()
db_wordcount_cons = db['Cons'].apply(lambda x: len(x.split())).sum()
n26_wordcount_pros = n26['Pros'].apply(lambda x: len(x.split())).sum()
n26_wordcount_cons = n26['Cons'].apply(lambda x: len(x.split())).sum()
print(f"Total word count in 'Pros' reviews of Deutsche Bank before preprocessing: {db_wordcount_pros} words")
print(f"Total word count in 'Cons' reviews of Deutsche Bank before preprocessing: {db_wordcount_cons} words")
print(f"Total word count in 'Pros' reviews of N26 before preprocessing: {n26_wordcount_pros} words")
print(f"Total word count in 'Cons' reviews of N26 before preprocessing: {n26_wordcount_cons} words")

Total word count in 'Pros' reviews of Deutsche Bank before preprocessing: 1936 words
Total word count in 'Cons' reviews of Deutsche Bank before preprocessing: 2416 words
Total word count in 'Pros' reviews of N26 before preprocessing: 3776 words
Total word count in 'Cons' reviews of N26 before preprocessing: 4715 words

The output indicates that before preprocessing, there are 1936 words in the 'Pros' reviews and 2416 words in the 'Cons' reviews for Deutsche Bank, while for N26, there are 3776 words in the 'Pros' reviews and 4715 words in the 'Cons' reviews.

(2) Average Length of Reviews

This step computes the mean length of each review by applying the len() function to each review's text and then the output shows the average length of 'Pros' and 'Cons' reviews, measured in terms of the number of characters, for both Deutsche Bank and N26 before preprocessing.

# Mean length of reviews (in terms of number of characters)
db_meanlength_pros = db['Pros'].apply(len).mean()
db_meanlength_cons = db['Cons'].apply(len).mean()
n26_meanlength_pros = n26['Pros'].apply(len).mean()
n26_meanlength_cons = n26['Cons'].apply(len).mean()
print(f"Average length of 'Pros' reviews of Deutsche Bank before preprocessing: {db_meanlength_pros} characters")
print(f"Average length of 'Cons' reviews of Deutsche Bank before preprocessing: {db_meanlength_cons} characters")
print(f"Average length of 'Pros' reviews of N26 before preprocessing: {n26_meanlength_pros} characters")
print(f"Average length of 'Cons' reviews of N26 before preprocessing: {n26_meanlength_cons} characters")

Average length of 'Pros' reviews of Deutsche Bank before preprocessing: 62.215 characters
Average length of 'Cons' reviews of Deutsche Bank before preprocessing: 73.71 characters
Average length of 'Pros' reviews of N26 before preprocessing: 113.13 characters
Average length of 'Cons' reviews of N26 before preprocessing: 142.635 characters

The results show that, on average, 'Pros' and 'Cons' reviews for Deutsche Bank have a length of approximately 61.59 characters and 74.06 characters, respectively, before preprocessing. For N26, the average length of 'Pros' and 'Cons' reviews is approximately 113.13 characters and 142.635 characters, respectively, before preprocessing.

(3) Average Word Length in Reviews

Before preprocessing, I calculated the average word length in 'Pros' and 'Cons' reviews for both Deutsche Bank and N26. It computes the mean word length for each review by iterating over each word in the review, calculating the length of each word, and then averaging the lengths.

# Average word length in 'Pros' and 'Cons'
db_avg_wordlength_pros = db['Pros'].apply(lambda x: np.mean([len(word) for word in x.split() if word.isalpha()])).mean()
db_avg_wordlength_cons = db['Cons'].apply(lambda x: np.mean([len(word) for word in x.split() if word.isalpha()])).mean()
n26_avg_wordlength_pros = n26['Pros'].apply(lambda x: np.mean([len(word) for word in x.split() if word.isalpha()])).mean()
n26_avg_wordlength_cons = n26['Cons'].apply(lambda x: np.mean([len(word) for word in x.split() if word.isalpha()])).mean()
print(f"Average word length in 'Pros' reviews of Deutsche Bank before preprocessing: {db_avg_wordlength_pros}")
print(f"Average word length in 'Cons' reviews of Deutsche Bank before preprocessing: {db_avg_wordlength_cons}")
print(f"Average word length in 'Pros' reviews of N26 before preprocessing: {n26_avg_wordlength_pros}")
print(f"Average word length in 'Cons' reviews of N26 before preprocessing: {n26_avg_wordlength_cons}")

Average word length in 'Pros' reviews of Deutsche Bank before preprocessing: 5.459111745372114
Average word length in 'Cons' reviews of Deutsche Bank before preprocessing: 5.0006024012057795
Average word length in 'Pros' reviews of N26 before preprocessing: 5.188589655272812
Average word length in 'Cons' reviews of N26 before preprocessing: 5.070385461326041

The results indicate that, on average, words in 'Pros' reviews for Deutsche Bank have a length of approximately 5.46 characters, while words in 'Cons' reviews have a length of approximately 5.00 characters before preprocessing. For N26, the average word length in 'Pros' reviews is approximately 5.19 characters, and in 'Cons' reviews, it is approximately 5.07 characters before preprocessing.

(4) The Most Common Words in Reviews

This step identifies the most common words in 'Pros' and 'Cons' reviews for both Deutsche Bank and N26 before preprocessing. It counts the occurrences of each word in the text of all 'Pros' and 'Cons' reviews and retrieve the top 10 most common words and their frequencies.

# Common words in 'Pros' and 'Cons' reviews of Deutsche Bank before preprocessing
db_commonwords_pros = Counter(" ".join(db['Pros']).split()).most_common(10)
db_commonwords_cons = Counter(" ".join(db['Cons']).split()).most_common(10)
print("Common words in 'Pros' reviews of Deutsche Bank before preprocessing:")
print(db_commonwords_pros)
print("\nCommon words in 'Cons' reviews of Deutsche Bank before preprocessing:")
print(db_commonwords_cons)

Common words in 'Pros' reviews of Deutsche Bank before preprocessing:
[('and', 71), ('good', 46), ('work', 41), ('-', 40), ('of', 37), ('Good', 36), ('to', 35), ('a', 32), ('balance', 28), ('the', 26)]

Common words in 'Cons' reviews of Deutsche Bank before preprocessing:
[('to', 77), ('and', 65), ('the', 47), ('a', 43), ('of', 37), ('in', 29), ('for', 28), ('is', 26), ('not', 26), ('you', 26)]

# Common words in 'Pros' and 'Cons' reviews of N26 before preprocessing
n26_commonwords_pros = Counter(" ".join(n26['Pros']).split()).most_common(10)
n26_commonwords_cons = Counter(" ".join(n26['Cons']).split()).most_common(10)
print("Common words in 'Pros' reviews of N26 before preprocessing:")
print(n26_commonwords_pros)
print("\nCommon words in 'Cons' reviews of N26 before preprocessing:")
print(n26_commonwords_cons)

Common words in 'Pros' reviews of N26 before preprocessing:
[('and', 142), ('to', 117), ('-', 100), ('the', 99), ('a', 76), ('of', 71), ('work', 49), ('is', 45), ('for', 42), ('in', 41)]

Common words in 'Cons' reviews of N26 before preprocessing:
[('to', 157), ('and', 131), ('the', 130), ('of', 100), ('a', 87), ('-', 80), ('is', 79), ('are', 63), ('not', 58), ('in', 55)]

For 'Pros' reviews of Deutsche Bank, common words include 'and', 'good', '-', and 'work'. On the other hand, for 'Cons' reviews, common words include 'to', 'and', and 'the'. Meanwhile 'Pros' reviews of N26, common words include 'and', 'to', '-' and 'the'. In contrast, for 'Cons' reviews, common words include 'to', 'and', and 'the'.

(5) Tokenization, POS Tagging, and Named Entity Recognition (NER)

For this process, I defined a function to processes text data by using the spaCy library and loaded a pre-trained spaCy model for English language (en_core_web_md). The function is then applied to the 'Pros' and 'Cons' entries of the Deutsche Bank and N26 datasets. It then tokenizes the text, performs part-of-speech (POS) tagging on each token, and identifies any named entities found in the text using Named Entity Recognition (NER).

This process provides linguistic analysis of the text data, helping to understand the grammatical structure, identify important words and phrases, and recognize named entities such as organizations, people, and locations.

# Load the pre-trained spaCy model
nlp = spacy.load('en_core_web_md')

def process_text_with_spacy(text):
    # Process the text with spaCy
    doc = nlp(text)
    # Tokenization and POS tagging
    print("Tokenization and POS Tagging:")
    for token in doc:
        print(f"{token.text:{12}} {token.pos_:{10}}")
    # Checking if there are named entities before printing
    if doc.ents:
        print("\nNamed Entity Recognition:")
        for ent in doc.ents:
            print(f"{ent.text:{17}} {ent.label_}")
    print("\n" + "-"*50 + "\n")

# Apply the function to the first 5 'Pros' entries
print("Processing 'Pros':")
for db_pros_text in db['Pros']:
    process_text_with_spacy(db_pros_text)

# Apply the function to the first 5 'Cons' entries
print("Processing 'Cons':")
for db_cons_text in db['Cons']:
    process_text_with_spacy(db_cons_text)

Processing 'Pros':
Tokenization and POS Tagging:
The          DET       
environment  NOUN      
within       ADP       
the          DET       
team         NOUN      
was          AUX       
open         ADJ       
and          CCONJ     
not          PART      
competitive  ADJ       
and          CCONJ     
people       NOUN      
were         AUX       
kind         ADJ       
to           ADP       
each         DET       
other        ADJ       

            SPACE     
The          DET       
manager      NOUN      
of           ADP       
the          DET       
team         NOUN      
was          AUX       
also         ADV       
very         ADV       
nice         ADJ       
and          CCONJ     
a            DET       
great        ADJ       
leader       NOUN      
overall      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Deutsche     PROPN     
Bank         PROPN     
in           ADP       
Germany      PROPN     
still        ADV       
kind         ADV       
of           ADV       
#            SYM       
1            NUM       
,            PUNCT     
and          CCONJ     
involved     VERB      
in           ADP       
all          DET       
big          ADJ       
name         NOUN      
deals        NOUN      

Named Entity Recognition:
Deutsche Bank     ORG
Germany           GPE
1                 MONEY

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
job          NOUN      
stands       VERB      
for          ADP       
a            DET       
very         ADV       
good         ADJ       
work         NOUN      
-            PUNCT     
life         NOUN      
balance      NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Flexible     ADJ       
work         NOUN      
and          CCONJ     
39h/         NUM       
week         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Trading      NOUN      
floor        NOUN      
experience   NOUN      
and          CCONJ     
good         ADJ       
socials      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Flexible     ADJ       
working      NOUN      
hours        NOUN      
,            PUNCT     
good         ADJ       
work         NOUN      
-            PUNCT     
life         NOUN      
balance      NOUN      

Named Entity Recognition:
Flexible working hours TIME

--------------------------------------------------

Tokenization and POS Tagging:
Helpful      ADJ       
for          ADP       
everyone     PRON      
job          NOUN      
seeker       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Friendly     ADJ       
and          CCONJ     
helpful      ADJ       
environment  NOUN      
,            PUNCT     
good         ADJ       
payment      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Work         PROPN     
Life         PROPN     
balance      NOUN      
,            PUNCT     
Pay          NOUN      
is           AUX       
okay         ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
Facilities   NOUN      
,            PUNCT     
relaxed      ADJ       
working      NOUN      
hours        NOUN      
,            PUNCT     
opportunity  NOUN      
to           PART      
look         VERB      
at           ADP       
how          SCONJ     
other        ADJ       
teams        NOUN      
work         VERB      

--------------------------------------------------

Tokenization and POS Tagging:
Amazing      ADJ       
worklife     NOUN      
balance      NOUN      
and          CCONJ     
flexibility  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
international ADJ       
team         NOUN      

            SPACE     
-            PUNCT     
great        ADJ       
guidance     NOUN      
and          CCONJ     
managers     NOUN      

            SPACE     
-            PUNCT     
interesting  ADJ       
problems     NOUN      
and          CCONJ     
steep        ADJ       
learning     NOUN      
curve        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Stable       ADJ       
employment   NOUN      
.            PUNCT     

            SPACE     
Good         ADJ       
work         NOUN      
life         NOUN      
balance      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
nice         ADJ       
colleagues   NOUN      
,            PUNCT     
latest       ADJ       
IT           NOUN      
stack        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
access       NOUN      
to           ADP       
core         NOUN      
business     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Strong       ADJ       
russian      ADJ       
community    NOUN      

            SPACE     
Relocation   PROPN     
oppotrunity  NOUN      

Named Entity Recognition:
russian           NORP

--------------------------------------------------

Tokenization and POS Tagging:
everything   PRON      
-            PUNCT     
good         ADJ       
pay          NOUN      
,            PUNCT     
flex         ADJ       
working      NOUN      
hours        NOUN      
,            PUNCT     
culture      NOUN      
,            PUNCT     
multi        ADJ       
national     ADJ       
team         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
managers     NOUN      
are          AUX       
keen         ADJ       
to           ADP       
networking   NOUN      
and          CCONJ     
knowledge    NOUN      
sharing      VERB      

--------------------------------------------------

Tokenization and POS Tagging:
As           ADP       
an           DET       
employer     NOUN      
it           PRON      
is           AUX       
fine         ADJ       
,            PUNCT     
provides     VERB      
loads        NOUN      
of           ADP       
security     NOUN      
and          CCONJ     
stability    NOUN      
.            PUNCT     
Many         ADJ       
talented     ADJ       
people       NOUN      
,            PUNCT     
also         ADV       
innovative   ADJ       
minds        NOUN      
.            PUNCT     
Diversity    NOUN      
is           AUX       
respected    VERB      
,            PUNCT     
I            PRON      
as           ADP       
a            DET       
young        ADJ       
female       ADJ       
employee     NOUN      
got          VERB      
loads        NOUN      
of           ADP       
mentoring    VERB      
and          CCONJ     
support      NOUN      
to           PART      
build        VERB      
a            DET       
carreer      NOUN      
.            PUNCT     
Never        ADV       
felt         VERB      
negatively   ADV       
discriminated VERB      

--------------------------------------------------

Tokenization and POS Tagging:
good         ADJ       
work         NOUN      
and          CCONJ     
life         NOUN      
balance      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Experienced  ADJ       
coworkers    NOUN      
.            PUNCT     
Relatively   ADV       
modern       ADJ       
tech         NOUN      
stack        NOUN      
(            PUNCT     
if           SCONJ     
it           PRON      
's           AUX       
not          PART      
a            DET       
legacy       NOUN      
project      NOUN      
)            PUNCT     
.            PUNCT     
Work         NOUN      
-            PUNCT     
life         NOUN      
balance      NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Nothing      PRON      
special      ADJ       
.            PUNCT     
Good         ADJ       
people       NOUN      
there        ADV       

--------------------------------------------------

Tokenization and POS Tagging:
World        PROPN     
bank         NOUN      
with         ADP       
wide         ADJ       
global       ADJ       
network      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Relxad       PROPN     
atmosphere   NOUN      
,            PUNCT     
loyalty      NOUN      
amongst      ADP       
colleagues   NOUN      

Named Entity Recognition:
Relxad            GPE

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
people       NOUN      
.            PUNCT     

            SPACE     
Great        ADJ       
campus       NOUN      
.            PUNCT     

            SPACE     
and          CCONJ     
great        ADJ       
culture      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Organized    ADJ       
,            PUNCT     
stable       ADJ       
management   NOUN      
,            PUNCT     
lunch        NOUN      
benefits     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
work         NOUN      
life         NOUN      
balance      NOUN      
is           AUX       
good         ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
Interesting  ADJ       
product      NOUN      
and          CCONJ     
domain       NOUN      
,            PUNCT     
clear        ADJ       
business     NOUN      
goals        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
you          PRON      
can          AUX       
choose       VERB      
work         NOUN      
you          PRON      
do           AUX       

            SPACE     
can          AUX       
choose       VERB      
goals        NOUN      

            SPACE     
care         NOUN      
for          ADP       
health       NOUN      
and          CCONJ     
well         ADV       
bieng        PROPN     

Named Entity Recognition:
well bieng        PERSON

--------------------------------------------------

Tokenization and POS Tagging:
Excellent    ADJ       
breadth      NOUN      
of           ADP       
work         NOUN      
due          ADP       
to           ADP       
the          DET       
bank         NOUN      
's           PART      
size         NOUN      
and          CCONJ     
global       ADJ       
footprint    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Helpful      ADJ       
,            PUNCT     
professional ADJ       
,            PUNCT     
nice         ADJ       
,            PUNCT     
kind         ADJ       
,            PUNCT     
great        ADJ       
communication NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Was          AUX       
a            DET       
good         ADJ       
atmosphere   NOUN      
working      VERB      
there        ADV       

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
work         NOUN      
life         NOUN      
balance      NOUN      
at           ADP       
the          DET       
office       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
good         ADJ       
benefits     NOUN      
,            PUNCT     
good         ADJ       
support      NOUN      
(            PUNCT     
HR           PROPN     
,            PUNCT     
Technologies PROPN     
)            PUNCT     
,            PUNCT     
good         ADJ       
work         NOUN      
-            PUNCT     
life         NOUN      
-            PUNCT     
balance      NOUN      

Named Entity Recognition:
Technologies      ORG

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
pay          NOUN      
,            PUNCT     
work         NOUN      
expectations NOUN      
,            PUNCT     
work         NOUN      
culture      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Is           AUX       
a            DET       
massin       PROPN     
company      NOUN      
and          CCONJ     
it           PRON      
will         AUX       
be           AUX       
a            DET       
good         ADJ       
addition     NOUN      
to           ADP       
your         PRON      
resume       NOUN      

Named Entity Recognition:
massin            NORP

--------------------------------------------------

Tokenization and POS Tagging:
High         PROPN     
Quality      PROPN     
Engineers    PROPN     
team         NOUN      
relocated    VERB      
from         ADP       
Russia       PROPN     

            SPACE     
Interesting  ADJ       
projects     NOUN      

            SPACE     
Deep         PROPN     
dive         VERB      
into         ADP       
technologies NOUN      

Named Entity Recognition:
Russia            GPE
Deep              PRODUCT

--------------------------------------------------

Tokenization and POS Tagging:
Excellent    ADJ       
experience   NOUN      
and          CCONJ     
good         ADJ       
compensation NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
opportunity  NOUN      
to           PART      
build        VERB      
an           DET       
international ADJ       
network      NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Experience   NOUN      

            SPACE     
Life         PROPN     
balance      NOUN      

            SPACE     
Good         ADJ       
pay          NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Prestige     PROPN     
is           AUX       
good         ADJ       
and          CCONJ     
everyone     PRON      
knows        VERB      
the          DET       
company      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
great        ADJ       
leaders      NOUN      
in           ADP       
the          DET       
technology   NOUN      
division     NOUN      

            SPACE     
-            PUNCT     
nice         ADJ       
colleagues   NOUN      
to           PART      
work         VERB      
with         ADP       

            SPACE     
-            PUNCT     
good         ADJ       
corporates   ADJ       
values       NOUN      

            SPACE     
-            PUNCT     
good         ADJ       
training     NOUN      
program      NOUN      

            SPACE     
-            PUNCT     
regular      ADJ       
feedback     NOUN      
from         ADP       
management   NOUN      

            SPACE     
-            PUNCT     
everyone     PRON      
treated      VERB      
with         ADP       
respect      NOUN      
-            PUNCT     
diversity    NOUN      
and          CCONJ     
inclusion    NOUN      
is           AUX       
at           ADP       
the          DET       
heart        NOUN      
of           ADP       
this         DET       
TDI          PROPN     
team         NOUN      

Named Entity Recognition:
TDI               ORG

--------------------------------------------------

Tokenization and POS Tagging:
Hybrid       ADJ       
working      NOUN      
style        NOUN      

            SPACE     
Great        ADJ       
people       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
I            PRON      
was          AUX       
lucky        ADJ       
to           PART      
become       VERB      
a            DET       
part         NOUN      
of           ADP       
very         ADV       
supportive   ADJ       
and          CCONJ     
friendly     ADJ       
team         NOUN      
.            PUNCT     
All          DET       
the          DET       
other        ADJ       
people       NOUN      
in           ADP       
other        ADJ       
teams        NOUN      
also         ADV       
seemed       VERB      
very         ADV       
reliable     ADJ       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Best         ADJ       
of           ADP       
best         ADJ       
company      NOUN      
culture      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
free         ADJ       
schedule     NOUN      

            SPACE     
-            PUNCT     
good         ADJ       
bonuses      NOUN      

            SPACE     
-            PUNCT     
enough       ADJ       
vacation     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
Experience   PROPN     
,            PUNCT     
Nice         PROPN     
Employees    PROPN     
,            PUNCT     
Good         PROPN     
Party        PROPN     
,            PUNCT     
Nice         PROPN     
afterwork    NOUN      
experience   NOUN      

Named Entity Recognition:
Nice Employees    ORG
Good Party        ORG
Nice              GPE

--------------------------------------------------

Tokenization and POS Tagging:
Depending    VERB      
on           ADP       
the          DET       
team         NOUN      
and          CCONJ     
department   NOUN      
,            PUNCT     
you          PRON      
get          VERB      
to           PART      
be           AUX       
in           ADP       
a            DET       
nice         ADJ       
,            PUNCT     
easy         ADV       
-            PUNCT     
going        VERB      
company      NOUN      
.            PUNCT     
It           PRON      
easy         ADJ       
to           PART      
keep         VERB      
a            DET       
balance      NOUN      
private      ADJ       
-            PUNCT     
work         NOUN      
life         NOUN      
balance      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Nice         ADJ       
workplace    NOUN      
and          CCONJ     
a            DET       
professional ADJ       
team         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
alles        VERB      
gut          NOUN      
,            PUNCT     
process      NOUN      
in           ADP       
place        NOUN      
,            PUNCT     
good         ADJ       
structure    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
employees    NOUN      
had          VERB      
nice         ADJ       
knowledge    NOUN      
and          CCONJ     
skills       NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
People       PROPN     
and          CCONJ     
work         NOUN      
env          NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
work         NOUN      
life         NOUN      
balance      NOUN      
and          CCONJ     
security     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Technically  ADV       
challenging  ADJ       
tasks        NOUN      
,            PUNCT     
big          ADJ       
scale        NOUN      
of           ADP       
the          DET       
systems      NOUN      
,            PUNCT     
a            DET       
lot          NOUN      
of           ADP       
interconnected VERB      
services     NOUN      
and          CCONJ     
teams        NOUN      
that         PRON      
's           AUX       
not          PART      
so           ADV       
simple       ADJ       
to           PART      
organise     VERB      
against      ADP       
common       ADJ       
target       NOUN      
goals        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
They         PRON      
fulfill      VERB      
all          DET       
contract     NOUN      
obligations  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
great        ADJ       
culture      NOUN      
and          CCONJ     
internship   NOUN      
remuneration NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Interesting  ADJ       
tasks        NOUN      
Valuable     ADJ       
work         NOUN      
I            PRON      
lot          NOUN      
of           ADP       
financial    ADJ       
knowledge    NOUN      
,            PUNCT     
experienced  VERB      
colleagues   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Workload     NOUN      
is           AUX       
not          PART      
too          ADV       
high         ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
Colleagues   NOUN      
are          AUX       
nice         ADJ       
.            PUNCT     
Projects     NOUN      
are          AUX       
interesting  ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
work         NOUN      
-            PUNCT     
life         NOUN      
balance      NOUN      
fairly       ADV       
normal       ADJ       
work         NOUN      
hours        NOUN      
9            NUM       
-            SYM       
18           NUM       
with         ADP       
flexibility  NOUN      

Named Entity Recognition:
9-18              DATE

--------------------------------------------------

Tokenization and POS Tagging:
International ADJ       
community    NOUN      
,            PUNCT     
English      PROPN     
is           AUX       
primary      ADJ       
language     NOUN      
,            PUNCT     
a            DET       
lot          NOUN      
of           ADP       
projects     NOUN      
to           PART      
choose       VERB      
from         ADP       
.            PUNCT     
You          PRON      
can          AUX       
find         VERB      
cutting      VERB      
edge         NOUN      
technologies NOUN      
and          CCONJ     
something    PRON      
back         ADV       
to           ADP       
70th         ADJ       
-            PUNCT     
whatever     PRON      
you          PRON      
want         VERB      
.            PUNCT     

Named Entity Recognition:
English           LANGUAGE
70th              ORDINAL

--------------------------------------------------

Tokenization and POS Tagging:
Work         NOUN      
life         NOUN      
balance      PROPN     
Office       PROPN     
locations    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Pleasant     ADJ       
attitude     NOUN      
towards      ADP       
employees    NOUN      
,            PUNCT     
high         ADJ       
wages        NOUN      
.            PUNCT     
There        PRON      
is           VERB      
an           DET       
opportunity  NOUN      
for          ADP       
career       NOUN      
growth       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
project      NOUN      
was          AUX       
good         ADJ       
,            PUNCT     
the          DET       
people       NOUN      
are          AUX       
smart        ADJ       
,            PUNCT     
the          DET       
WLB          PROPN     
is           AUX       
nice         ADJ       
.            PUNCT     

Named Entity Recognition:
WLB               PERSON

--------------------------------------------------

Tokenization and POS Tagging:
This         PRON      
is           AUX       
nice         ADJ       
place        NOUN      
to           PART      
work         VERB      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Open         VERB      
for          ADP       
ideas        NOUN      
,            PUNCT     
good         ADJ       
opportunities NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Team         NOUN      
members      NOUN      
,            PUNCT     
HR           PROPN     
and          CCONJ     
even         ADV       
managers     NOUN      
were         AUX       
pretty       ADV       
proactive    ADJ       
and          CCONJ     
open         ADJ       
minded       NOUN      
.            PUNCT     

Named Entity Recognition:
HR                ORG

--------------------------------------------------

Tokenization and POS Tagging:
Lot          NOUN      
of           ADP       
learning     NOUN      
and          CCONJ     
growth       NOUN      
options      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Open         ADJ       
culture      NOUN      
and          CCONJ     
decent       ADJ       
management   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Very         ADV       
relaxed      ADJ       
environment  NOUN      
if           SCONJ     
wanted       VERB      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
salary       NOUN      
-            PUNCT     
mobility     NOUN      
-            PUNCT     
you          PRON      
can          AUX       
switch       VERB      
your         PRON      
career       NOUN      
path         NOUN      
inside       ADP       
DB           PROPN     
-            PUNCT     
despite      SCONJ     
the          DET       
bureaucracy  NOUN      
it           PRON      
is           AUX       
possible     ADJ       
to           PART      
adapt        VERB      
new          ADJ       
technologies NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
support      NOUN      
by           ADP       
supervisors  NOUN      
in           ADP       
the          DET       
course       NOUN      
of           ADP       
development  NOUN      
opportunities NOUN      
etc          X         
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
i            PRON      
liked        VERB      
the          DET       
salary       NOUN      
increases    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
A            DET       
lot          NOUN      
of           ADP       
experienced  ADJ       
people       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Very         ADV       
international ADJ       
working      NOUN      
environment  NOUN      
which        PRON      
provides     VERB      
many         ADJ       
interesting  ADJ       
career       NOUN      
opportunities NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Professionalism NOUN      
of           ADP       
colleagues   NOUN      
,            PUNCT     
friendly     ADJ       
atmosphere   NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
working      VERB      
hours        NOUN      
and          CCONJ     
number       NOUN      
of           ADP       
holidays     NOUN      

Named Entity Recognition:
working hours     TIME

--------------------------------------------------

Tokenization and POS Tagging:
flexible     ADJ       
hours        NOUN      
and          CCONJ     
work         NOUN      
from         ADP       
home         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Since        SCONJ     
the          DET       
bank         NOUN      
is           AUX       
very         ADV       
big          ADJ       
there        PRON      
are          VERB      
a            DET       
lot          NOUN      
of           ADP       
opportunities NOUN      
for          ADP       
internal     ADJ       
movements    NOUN      
between      ADP       
geographies  NOUN      
and          CCONJ     
between      ADP       
departments  NOUN      
and          CCONJ     
even         ADV       
between      ADP       
business     NOUN      
,            PUNCT     
tech         NOUN      
,            PUNCT     
control      NOUN      
functions    NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Flexible     ADJ       
environment  NOUN      
and          CCONJ     
good         ADJ       
benefits     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Fair         NOUN      
salary       NOUN      
rotations    NOUN      
into         ADP       
many         ADJ       
divisions    NOUN      
insights     NOUN      
into         ADP       
different    ADJ       
departments  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
culture      NOUN      
is           AUX       
quite        ADV       
supportive   ADJ       
of           ADP       
employees    NOUN      
in           ADP       
maintaining  VERB      
a            DET       
work         NOUN      
-            PUNCT     
life         NOUN      
balance      NOUN      
,            PUNCT     
there        PRON      
's           VERB      
a            DET       
decent       ADJ       
hybrid       ADJ       
work         NOUN      
policy       NOUN      
and          CCONJ     
they         PRON      
supply       VERB      
a            DET       
laptop       NOUN      
and          CCONJ     
are          AUX       
keen         ADJ       
to           PART      
keep         VERB      
up           ADP       
on           ADP       
advancements NOUN      
to           PART      
improve      VERB      
a            DET       
work         NOUN      
environment  NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Good         PROPN     
HR           PROPN     
benefits     NOUN      
such         ADJ       
as           ADP       
maternity    NOUN      
leave        NOUN      
,            PUNCT     
Bildungsurlaubs NOUN      
,            PUNCT     
sick         ADJ       
leave        NOUN      
,            PUNCT     
children     NOUN      
sick         ADJ       
leave        VERB      
.            PUNCT     
etc          X         
International PROPN     
environment  NOUN      
Internal     ADJ       
moving       NOUN      

Named Entity Recognition:
Bildungsurlaubs   PERSON
International environment Internal ORG

--------------------------------------------------

Tokenization and POS Tagging:
Benfits      NOUN      
in           ADP       
plenty       ADJ       
high         ADJ       
salary       NOUN      

Named Entity Recognition:
Benfits           GPE

--------------------------------------------------

Tokenization and POS Tagging:
Good         PROPN     
HR           PROPN     
support      NOUN      
and          CCONJ     
facilitied   VERB      

--------------------------------------------------

Tokenization and POS Tagging:
Home         NOUN      
office       NOUN      
is           AUX       
a            DET       
great        ADJ       
option       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
good         ADJ       
development  NOUN      
plan         NOUN      
for          ADP       
young        ADJ       
people       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
As           SCONJ     
mentioned    VERB      
people       NOUN      
are          AUX       
amazing      ADJ       
.            PUNCT     
Devs         NOUN      
open         ADJ       
space        NOUN      
feels        VERB      
like         ADP       
common       ADJ       
place        NOUN      
instead      ADV       
of           ADP       
people       NOUN      
forced       VERB      
to           PART      
work         VERB      
in           ADP       
one          NUM       
room         NOUN      
.            PUNCT     
Every        DET       
one          NOUN      
I            PRON      
talked       VERB      
to           PART      
are          AUX       
interesting  ADJ       
people       NOUN      
that         PRON      
are          AUX       
good         ADJ       
people       NOUN      
with         ADP       
(            PUNCT     
at           ADP       
least        ADJ       
)            PUNCT     
interest     NOUN      
and          CCONJ     
love         NOUN      
in           ADP       
what         PRON      
are          AUX       
they         PRON      
doing        VERB      
.            PUNCT     
Possibilities NOUN      
for          ADP       
work         NOUN      
/            SYM       
life         NOUN      
balance      NOUN      
if           SCONJ     
needed       VERB      
.            PUNCT     
As           ADV       
well         ADV       
as           SCONJ     
possibilities NOUN      
for          ADP       
quick        ADJ       
career       NOUN      
climb        NOUN      
(            PUNCT     
tho          PROPN     
promotions   NOUN      
only         ADV       
once         ADV       
a            DET       
year         NOUN      
,            PUNCT     
but          CCONJ     
any          DET       
effort       NOUN      
is           AUX       
recognized   VERB      
)            PUNCT     

Named Entity Recognition:
Devs              PERSON
one               CARDINAL

--------------------------------------------------

Tokenization and POS Tagging:
Nice         ADJ       
worklife     NOUN      
balance      NOUN      
,            PUNCT     
stable       ADJ       
,            PUNCT     
benefits     NOUN      
from         ADP       
company      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Space        NOUN      
for          ADP       
growth       NOUN      
,            PUNCT     
opportunities NOUN      
,            PUNCT     
getting      AUX       
challenged   VERB      
,            PUNCT     
job          NOUN      
safety       NOUN      
,            PUNCT     
employee     NOUN      
benefits     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
atmosphere   NOUN      
Smart        ADJ       
colleagues   NOUN      
New          ADJ       
office       NOUN      

Named Entity Recognition:
Smart             ORG

--------------------------------------------------

Tokenization and POS Tagging:
flexible     ADJ       
work         NOUN      
,            PUNCT     
great        ADJ       
benefits     NOUN      
,            PUNCT     
nice         ADJ       
colleagues   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Freedom      NOUN      
to           PART      
innovate     VERB      
.            PUNCT     
Safety       NOUN      
net          NOUN      
of           ADP       
a            DET       
company      NOUN      
Clear        ADJ       
job          NOUN      
progression  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Good         PROPN     
Environment  PROPN     
,            PUNCT     
Top          ADJ       
notch        ADJ       
Management   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Culture      NOUN      
,            PUNCT     
benefits     NOUN      
and          CCONJ     
annual       ADJ       
leave        NOUN      
entitlement  NOUN      

Named Entity Recognition:
annual            DATE

--------------------------------------------------

Tokenization and POS Tagging:
Work         NOUN      
life         NOUN      
balance      NOUN      
is           AUX       
good         ADJ       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Nice         ADJ       
time         NOUN      
,            PUNCT     
working      NOUN      
hours        NOUN      
were         AUX       
ok           ADJ       
for          ADP       
M&A          PROPN     

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
team         NOUN      
Good         ADJ       
work         NOUN      
environment  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
I            PRON      
was          AUX       
constantly   ADV       
taken        VERB      
care         NOUN      
of           ADP       
.            PUNCT     
-            PUNCT     
Employees    NOUN      
answered     VERB      
all          DET       
my           PRON      
questions    NOUN      
with         ADP       
patience     NOUN      
.            PUNCT     
-            PUNCT     
Everyone     PRON      
was          AUX       
kind         ADJ       
and          CCONJ     
welcoming    ADJ       
.            PUNCT     
-            PUNCT     
I            PRON      
was          AUX       
allowed      VERB      
and          CCONJ     
wanted       VERB      
to           PART      
discover     VERB      
all          DET       
facets       NOUN      
of           ADP       
the          DET       
branch       NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
company      NOUN      
,            PUNCT     
good         ADJ       
money        NOUN      
,            PUNCT     
pay          VERB      
good         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
Salary       PROPN     
,            PUNCT     
30           NUM       
days         NOUN      
off          ADV       

Named Entity Recognition:
30 days           DATE

--------------------------------------------------

Tokenization and POS Tagging:
Tech         NOUN      
company      NOUN      
,            PUNCT     
Stable       ADJ       
,            PUNCT     
good         ADJ       
IT           NOUN      
culture      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Can          AUX       
have         VERB      
a            DET       
good         ADJ       
work         NOUN      
/            SYM       
life         NOUN      
balance      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
team         NOUN      
and          CCONJ     
clear        ADJ       
development  NOUN      
process      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
everything   PRON      
was          AUX       
okay         ADJ       
,            PUNCT     
went         VERB      
well         ADV       

--------------------------------------------------

Tokenization and POS Tagging:
Coffee       NOUN      
,            PUNCT     
people       NOUN      
,            PUNCT     
chill        NOUN      
staff        NOUN      
,            PUNCT     
Thursdays    PROPN     

Named Entity Recognition:
Thursdays         DATE

--------------------------------------------------

Tokenization and POS Tagging:
Colleagues   NOUN      
,            PUNCT     
Gehalt       PROPN     
,            PUNCT     
work         NOUN      
life         NOUN      
balance      NOUN      

Named Entity Recognition:
Gehalt            PERSON

--------------------------------------------------

Tokenization and POS Tagging:
-Great       ADJ       
teams        NOUN      
-good        VERB      
bonus        NOUN      
-opportunity NOUN      
to           PART      
learn        VERB      

--------------------------------------------------

Tokenization and POS Tagging:
salary       NOUN      
,            PUNCT     
work         NOUN      
life         NOUN      
balance      NOUN      
,            PUNCT     
benefits     NOUN      
,            PUNCT     
friendly     ADJ       
colleagues   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
No           DET       
pressure     NOUN      
,            PUNCT     
hybrid       NOUN      
,            PUNCT     
good         ADJ       
coworkers    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Nice         PROPN     
Office       PROPN     
in           ADP       
the          DET       
heart        NOUN      
of           ADP       
Frankfurt    PROPN     
,            PUNCT     
nice         ADJ       
colleagues   NOUN      

Named Entity Recognition:
Nice Office       ORG
Frankfurt         GPE

--------------------------------------------------

Tokenization and POS Tagging:
Stable       ADJ       
company      NOUN      
,            PUNCT     
good         ADJ       
office       NOUN      
,            PUNCT     
good         ADJ       
engineers    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
amount       NOUN      
of           ADP       
skilled      ADJ       
specialists  NOUN      
to           PART      
work         VERB      
with         ADP       
.            PUNCT     
One          NUM       
of           ADP       
the          DET       
best         ADJ       
colleagues   NOUN      
I            PRON      
've          AUX       
ever         ADV       
had          VERB      
.            PUNCT     
Decent       ADJ       
management   NOUN      
who          PRON      
values       VERB      
people       NOUN      
.            PUNCT     

Named Entity Recognition:
One               CARDINAL

--------------------------------------------------

Tokenization and POS Tagging:
Strong       ADJ       
brand        NOUN      
recognition  NOUN      
and          CCONJ     
learning     NOUN      
path         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
environment  NOUN      
,            PUNCT     
happy        ADJ       
team         NOUN      
,            PUNCT     
comfort      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Stable       ADJ       
,            PUNCT     
nice         ADJ       
people       NOUN      
,            PUNCT     
good         ADJ       
work         NOUN      
life         NOUN      
balance      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Employee     NOUN      
friendly     ADJ       
,            PUNCT     
Lots         NOUN      
of           ADP       
option       NOUN      
to           PART      
switch       VERB      
between      ADP       
the          DET       
career       NOUN      
oppurtunity  NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Development  NOUN      
and          CCONJ     
career       NOUN      
opportunity  NOUN      
,            PUNCT     
company      NOUN      
benefits     NOUN      
,            PUNCT     
international ADJ       
community    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
good         ADJ       
pay          NOUN      
,            PUNCT     
good         ADJ       
people       NOUN      
,            PUNCT     
good         ADJ       
food         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
culture      NOUN      
,            PUNCT     
good         ADJ       
work         NOUN      
.            PUNCT     
Good         ADJ       
projects     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Professional ADJ       
and          CCONJ     
proactive    ADJ       
people       NOUN      
,            PUNCT     
company      NOUN      
politics     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Think        VERB      
about        ADP       
all          DET       
their        PRON      
employees    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
work         NOUN      
-            PUNCT     
life         NOUN      
balance      NOUN      
,            PUNCT     
good         ADJ       
work         NOUN      
culture      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Well         INTJ      
structured   VERB      
.            PUNCT     
Steep        ADJ       
learning     NOUN      
curve        NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
supervision  NOUN      
!            PUNCT     
We           PRON      
had          VERB      
very         ADV       
packed       ADJ       
days         NOUN      
and          CCONJ     
learned      VERB      
a            DET       
lot          NOUN      
about        ADP       
different    ADJ       
departments  NOUN      
.            PUNCT     

Named Entity Recognition:
days              DATE

--------------------------------------------------

Tokenization and POS Tagging:
Stability    NOUN      
,            PUNCT     
bonuses      NOUN      
,            PUNCT     
13           NUM       
salary       NOUN      
,            PUNCT     
salary       NOUN      
above        ADP       
average      NOUN      
on           ADP       
the          DET       
market       NOUN      
,            PUNCT     
international ADJ       
environment  NOUN      
,            PUNCT     
colleagues   NOUN      
,            PUNCT     
mature       ADJ       
audit        NOUN      
methodology  NOUN      

Named Entity Recognition:
13                CARDINAL

--------------------------------------------------

Tokenization and POS Tagging:
Team         PROPN     
,            PUNCT     
Projects     PROPN     
and          CCONJ     
Work         PROPN     
Life         PROPN     
Balance      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
intense      ADJ       
,            PUNCT     
too          ADV       
much         ADJ       
work         NOUN      
,            PUNCT     
no           DET       
lunch        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Fast         ADJ       
interview    NOUN      
process      NOUN      
Well         INTJ      
known        VERB      
clients      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
*            PUNCT     
global       ADJ       
impact       NOUN      
*            PUNCT     
turn         VERB      
over         ADP       
of           ADP       
people       NOUN      
with         ADP       
broad        ADJ       
experiences  NOUN      
and          CCONJ     
solid        ADJ       
education    NOUN      
*            PUNCT     
robustness   NOUN      
and          CCONJ     
standardization NOUN      
of           ADP       
processes    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
*            PUNCT     
skilled      ADJ       
co           NOUN      
-            NOUN      
workers      NOUN      
*            PUNCT     
work         NOUN      
-            PUNCT     
life         NOUN      
balance      NOUN      
*            NOUN      
modern       ADJ       
tech         NOUN      
stack        NOUN      
if           SCONJ     
you          PRON      
are          AUX       
lucky        ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
Very         ADV       
good         ADJ       
team         NOUN      
with         ADP       
a            DET       
lot          NOUN      
of           ADP       
knowledge    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
flexible     ADJ       
,            PUNCT     
lots         NOUN      
time         NOUN      
for          ADP       
family       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Good         ADJ       
pay          NOUN      
-            PUNCT     
No           NOUN      
micro        NOUN      
management   NOUN      
-            PUNCT     
International ADJ       
team         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Solid        ADJ       
employer     NOUN      
,            PUNCT     
employees    NOUN      
have         VERB      
lots         NOUN      
of           ADP       
rights       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
I            PRON      
think        VERB      
this         PRON      
is           AUX       
protect      VERB      

--------------------------------------------------

Tokenization and POS Tagging:
Very         ADV       
less         ADJ       
pressure     NOUN      
on           ADP       
employees    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-Flexibility NOUN      
and          CCONJ     
Mutual       ADJ       
-            PUNCT     
trust        NOUN      
working      NOUN      
environment  NOUN      
-Fair        NOUN      
payment      NOUN      
-Many        ADJ       
net          ADJ       
-            PUNCT     
working      VERB      
opportunities NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
People       NOUN      
are          AUX       
always       ADV       
willing      ADJ       
to           PART      
help         VERB      
each         DET       
other        ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
good         ADJ       
benefits     NOUN      
,            PUNCT     
flexible     ADJ       
working      NOUN      
hours        NOUN      

Named Entity Recognition:
hours             TIME

--------------------------------------------------

Tokenization and POS Tagging:
very         ADV       
relaxed      ADJ       
environment  NOUN      
and          CCONJ     
they         PRON      
do           AUX       
take         VERB      
care         NOUN      
of           ADP       
their        PRON      
workers      NOUN      
.            PUNCT     
above        ADP       
average      ADJ       
salary       NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Ability      NOUN      
to           PART      
work         VERB      
on           ADP       
interesting  ADJ       
projects     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
people       NOUN      
,            PUNCT     
challenging  VERB      
projects     NOUN      
,            PUNCT     
good         ADJ       
mobility     NOUN      
options      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
help         VERB      
to           PART      
arrange      VERB      
a            DET       
blue         ADJ       
card         NOUN      
and          CCONJ     
rent         VERB      
an           DET       
apartment    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Collaborative ADJ       
and          CCONJ     
positive     ADJ       
environment  NOUN      
,            PUNCT     
sense        NOUN      
of           ADP       
working      VERB      
towards      ADP       
a            DET       
common       ADJ       
goal         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
nice         ADJ       
office       NOUN      
in           ADP       
great        ADJ       
location     NOUN      
,            PUNCT     
small        ADJ       
team         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Great        PROPN     
Employer     PROPN     
,            PUNCT     
Good         ADJ       
culture      NOUN      
and          CCONJ     
Support      PROPN     
,            PUNCT     

            SPACE     
Good         ADJ       
opportunities NOUN      
and          CCONJ     
different    ADJ       
projects     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
people       NOUN      

            SPACE     
Opportunities NOUN      
for          SCONJ     
juniors      NOUN      
to           PART      
grow         VERB      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Sehr         PROPN     
gute         NOUN      
Benefits     NOUN      

            SPACE     
-            PUNCT     
Sehr         PROPN     
gute         NOUN      
Kantine      PROPN     

            SPACE     
-            PUNCT     
Home         NOUN      
office       NOUN      
möglich      VERB      

            SPACE     
-            PUNCT     
Vermögenswirksame PROPN     
Leistungen   PROPN     

Named Entity Recognition:
möglich
- Vermögenswirksame Leistungen PERSON

--------------------------------------------------

Tokenization and POS Tagging:
work         NOUN      
life         NOUN      
balance      NOUN      

            SPACE     
okay         ADJ       
-            PUNCT     
ish          ADJ       
benefits     NOUN      

            SPACE     
ample        ADJ       
opportunities NOUN      
for          ADP       
internal     ADJ       
move         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
working      VERB      
atmosphere   NOUN      
was          AUX       
pretty       ADV       
good         ADJ       
as           ADV       
well         ADV       
as           ADP       
the          DET       
colleagues   NOUN      
.            PUNCT     

            SPACE     
Human        PROPN     
Resources    PROPN     

            SPACE     
Working      PROPN     
hours        NOUN      

Named Entity Recognition:
Human Resources
Working ORG

--------------------------------------------------

Tokenization and POS Tagging:
Strong       ADJ       
team         NOUN      
and          CCONJ     
deal         NOUN      
flow         NOUN      
,            PUNCT     
in           ADP       
particular   ADJ       
in           ADP       
German       ADJ       
home         NOUN      
market       NOUN      

Named Entity Recognition:
German            NORP

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
atmosphere   NOUN      
.            PUNCT     

            SPACE     
Not          PART      
much         ADJ       
pressure     NOUN      
put          VERB      
on           ADP       
workers      NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Large        ADJ       
international ADJ       
company      NOUN      
,            PUNCT     
safe         ADJ       
job          NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
place        NOUN      
to           PART      
work         VERB      
and          CCONJ     
flexible     ADJ       
culture      NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Very         ADV       
good         ADJ       
work         NOUN      
culture      NOUN      
and          CCONJ     
work         NOUN      
life         NOUN      
balance      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
corporate    ADJ       
bank         NOUN      
gives        VERB      
you          PRON      
a            DET       
comprehensive ADJ       
insight      NOUN      
into         ADP       
banking      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
flexible     ADJ       
working      NOUN      
time         NOUN      
,            PUNCT     
stable       ADJ       
job          NOUN      
depending    VERB      
where        SCONJ     
you          PRON      
are          AUX       
placed       VERB      

--------------------------------------------------

Tokenization and POS Tagging:
Big          ADJ       
bank         NOUN      
,            PUNCT     
opportunity  NOUN      
to           PART      
learn        VERB      
an           DET       
build        NOUN      
up           ADP       

--------------------------------------------------

Tokenization and POS Tagging:
Life         NOUN      
work         NOUN      
balance      NOUN      
is           AUX       
really       ADV       
good         ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
High         ADJ       
client       NOUN      
exposure     NOUN      
for          ADP       
an           DET       
intern       NOUN      
,            PUNCT     
intensive    ADJ       
work         NOUN      
environment  NOUN      
but          CCONJ     
still        ADV       
fun          ADJ       
,            PUNCT     
diverse      ADJ       
tasks        NOUN      
in           ADP       
my           PRON      
division     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Lots         NOUN      
of           ADP       
internal     ADJ       
opportunities NOUN      
for          ADP       
growth       NOUN      

            SPACE     
-            PUNCT     
Good         ADJ       
internal     ADJ       
mobility     NOUN      

            SPACE     
-            PUNCT     
Great        ADJ       
colleagues   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
work         NOUN      
culture      NOUN      
and          CCONJ     
collegues    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
International ADJ       
,            PUNCT     
nice         ADJ       
team         NOUN      
,            PUNCT     
big          ADJ       
brand        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
culture      NOUN      
,            PUNCT     
Fair         NOUN      
pay          NOUN      
,            PUNCT     
Supportive   ADJ       
management   NOUN      
,            PUNCT     
decent       ADJ       
work         NOUN      
life         NOUN      
balance      NOUN      

Named Entity Recognition:
Fair              ORG

--------------------------------------------------

Tokenization and POS Tagging:
teamwork     NOUN      
,            PUNCT     
tools        NOUN      
,            PUNCT     
atmosphere   NOUN      
,            PUNCT     
client       NOUN      
exposure     NOUN      
,            PUNCT     
steep        ADJ       
learning     NOUN      
curve        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Flexible     ADJ       
working      NOUN      
hours        NOUN      

            SPACE     
Home         NOUN      
office       NOUN      
opportunities NOUN      

            SPACE     
Great        ADJ       
tech         NOUN      
in           ADP       
offices      NOUN      

Named Entity Recognition:
Flexible working hours TIME

--------------------------------------------------

Tokenization and POS Tagging:
International ADJ       
mobility     NOUN      
is           AUX       
easily       ADV       
possible     ADJ       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
people       NOUN      

            SPACE     
Subsidized   ADJ       
cafeteria    NOUN      

            SPACE     
Decent       ADJ       
working      VERB      
environment  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Sustainable  ADJ       
,            PUNCT     
risk         NOUN      
averse       ADJ       
,            PUNCT     
modern       ADJ       
,            PUNCT     
challenging  VERB      

--------------------------------------------------

Tokenization and POS Tagging:
Amazing      ADJ       
colleagues   NOUN      
.            PUNCT     

            SPACE     
Management   NOUN      
respects     VERB      
us           PRON      
.            PUNCT     

            SPACE     
Working      PROPN     
Council      PROPN     
represents   VERB      
us           PRON      
.            PUNCT     

            SPACE     
Work         NOUN      
-            PUNCT     
Life         NOUN      
balance      NOUN      
---          PUNCT     
>            PUNCT     
top          NOUN      

Named Entity Recognition:
Working Council   ORG

--------------------------------------------------

Tokenization and POS Tagging:
Yet          CCONJ     
to           PART      
discover     VERB      
them         PRON      
.            PUNCT     
I            PRON      
just         ADV       
started      VERB      

--------------------------------------------------

Tokenization and POS Tagging:
Macht        PROPN     
meistens     VERB      
Spaß         PROPN     
hier         PROPN     
zu           X         
arbeiten     VERB      

Named Entity Recognition:
Macht meistens Spaß hier zu arbeiten PERSON

--------------------------------------------------

Tokenization and POS Tagging:
30           NUM       
days         NOUN      
vacation     NOUN      
,            PUNCT     
work         NOUN      
from         ADP       
home         NOUN      
2/5          NUM       
days         NOUN      

Named Entity Recognition:
30 days           DATE
2/5 days          DATE

--------------------------------------------------

Tokenization and POS Tagging:
many         ADJ       
project      NOUN      
you          PRON      
can          AUX       
work         VERB      
on           ADP       

            SPACE     
diverse      ADJ       
kind         NOUN      
of           ADP       
work         NOUN      

            SPACE     
challenging  VERB      

--------------------------------------------------

Tokenization and POS Tagging:
Various      ADJ       
risks        NOUN      
issues       NOUN      
.            PUNCT     
Collaboration NOUN      
between      ADP       
departments  NOUN      
can          AUX       
be           AUX       
achieved     VERB      
.            PUNCT     
Colleagues   NOUN      
from         ADP       
other        ADJ       
departments  NOUN      
are          AUX       
communicative ADJ       
.            PUNCT     
People       NOUN      
generally    ADV       
are          AUX       
nice         ADJ       
and          CCONJ     
approachable ADJ       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Decent       ADJ       
flexibility  NOUN      
-            PUNCT     
work         NOUN      
/            SYM       
life         NOUN      
balance      NOUN      

            SPACE     
Market       NOUN      
level        NOUN      
pay          NOUN      

            SPACE     
International ADJ       
environment  NOUN      
with         ADP       
many         ADJ       
interesting  ADJ       
people       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Opportunity  NOUN      
for          ADP       
learning     VERB      
a            DET       
lot          NOUN      
of           ADP       
areas        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Very         ADV       
Relaxed      ADJ       
working      NOUN      
environment  NOUN      
and          CCONJ     
good         ADJ       
managers     NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
you          PRON      
have         VERB      
many         ADJ       
many         ADJ       
challenges   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Average      ADJ       
work         NOUN      
life         NOUN      
balance      NOUN      
.            PUNCT     

            SPACE     
Decent       ADJ       
salary       NOUN      

            SPACE     
Brand        NOUN      
value        NOUN      

Named Entity Recognition:
Brand             ORG

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
income       NOUN      
,            PUNCT     
good         ADJ       
reputation   NOUN      
,            PUNCT     
good         ADJ       
benefits     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
secure       ADJ       
job          NOUN      
with         ADP       
little       ADJ       
risk         NOUN      
of           ADP       
being        AUX       
sacked       VERB      
(            PUNCT     
or           CCONJ     
at           ADP       
least        ADJ       
you          PRON      
get          VERB      
sewerance    NOUN      
package      NOUN      
)            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
pay          NOUN      
,            PUNCT     
fantastic    ADJ       
working      NOUN      
environment  NOUN      
,            PUNCT     
...          PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
WL           NOUN      
balance      NOUN      

            SPACE     
-            PUNCT     
Benefits     NOUN      

            SPACE     
-            PUNCT     
Cantine      ADJ       

            SPACE     
-            PUNCT     
Collegues    PROPN     

--------------------------------------------------

Tokenization and POS Tagging:
Money        NOUN      
home         NOUN      
office       NOUN      
work         NOUN      
time         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Team         NOUN      
culture      NOUN      
is           AUX       
really       ADV       
great        ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
Salary       NOUN      
,            PUNCT     
Commissions  PROPN     
,            PUNCT     
Life         PROPN     
Style        PROPN     
,            PUNCT     
Top          PROPN     
Management   PROPN     

Named Entity Recognition:
Commissions       ORG

--------------------------------------------------

Tokenization and POS Tagging:
It           PRON      
is           AUX       
an           DET       
International ADJ       
company      NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Amazing      ADJ       
colleagues   NOUN      

            SPACE     
Great        ADJ       
manager      NOUN      

            SPACE     
Great        ADJ       
work         NOUN      
Life         NOUN      
balance      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
everything   PRON      
clean        ADJ       
and          CCONJ     
new          ADJ       
technology   NOUN      
stuff        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Salary       NOUN      
,            PUNCT     
stability    NOUN      
,            PUNCT     
Size         PROPN     
,            PUNCT     
Carrier      PROPN     
opportunities NOUN      

Named Entity Recognition:
Size              ORG
Carrier           PRODUCT

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
benefits     NOUN      

            SPACE     
Good         PROPN     
Work         PROPN     
Life         PROPN     
balance      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Great        PROPN     
Team         PROPN     
,            PUNCT     
excellent    ADJ       
cantine      ADJ       
,            PUNCT     
interesting  ADJ       
tasts        NOUN      

Named Entity Recognition:
Great Team        ORG

--------------------------------------------------

Tokenization and POS Tagging:
I            PRON      
worked       VERB      
there        ADV       
for          ADP       
a            DET       
very         ADV       
short        ADJ       
period(2months NOUN      
)            PUNCT     
but          CCONJ     
I            PRON      
had          VERB      
a            DET       
good         ADJ       
experience   NOUN      
with         ADP       
the          DET       
company      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
flexible     PROPN     
environment  NOUN      
,            PUNCT     
diversity    NOUN      
,            PUNCT     
complexity   NOUN      
of           ADP       
work         NOUN      
ok           INTJ      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
bank         NOUN      
has          VERB      
a            DET       
really       ADV       
supportive   ADJ       
and          CCONJ     
strong       ADJ       
worker       NOUN      
’s           PART      
council      NOUN      
.            PUNCT     
Work         NOUN      
culture      NOUN      
varies       VERB      
across       ADP       
different    ADJ       
business     NOUN      
divisions    NOUN      
.            PUNCT     
You          PRON      
can          AUX       
develop      VERB      
your         PRON      
career       NOUN      
but          CCONJ     
need         VERB      
to           PART      
be           AUX       
willing      ADJ       
to           PART      
suck         VERB      
in           ADP       
the          DET       
overly       ADV       
political    ADJ       
environment  NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
good         ADJ       
environment  NOUN      
and          CCONJ     
nice         ADJ       
colleagues   NOUN      
with         ADP       
sufficient   ADJ       
preparation  NOUN      
for          ADP       
Covid        PROPN     
19           NUM       
situation    NOUN      
.            PUNCT     
some         DET       
flat         ADJ       
hierarchies  NOUN      
make         VERB      
the          DET       
reporting    NOUN      
line         NOUN      
easier       ADV       
.            PUNCT     

Named Entity Recognition:
19                CARDINAL

--------------------------------------------------

Tokenization and POS Tagging:
sercure      NOUN      
workplace    NOUN      
,            PUNCT     
many         ADJ       
job          NOUN      
opportunities NOUN      
within       ADP       
the          DET       
company      NOUN      
(            PUNCT     
Germany      PROPN     
)            PUNCT     
.            PUNCT     
some         DET       
options      NOUN      
abroad       ADV       

Named Entity Recognition:
Germany           GPE

--------------------------------------------------

Tokenization and POS Tagging:
*            PUNCT     
Good         ADJ       
work         NOUN      
-            PUNCT     
life         NOUN      
balance      NOUN      

            SPACE     
*            PUNCT     
Nice         ADJ       
colleagues   NOUN      
and          CCONJ     
pleasant     ADJ       
atmosphere   NOUN      

--------------------------------------------------

Processing 'Cons':
Tokenization and POS Tagging:
The          DET       
temporary    ADJ       
contract     NOUN      
and          CCONJ     
the          DET       
salary       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Globally     ADV       
lacking      VERB      
behind       ADP       
BB           PROPN     
US           PROPN     
banks        NOUN      
,            PUNCT     
but          CCONJ     
keeps        VERB      
up           ADP       
closely      ADV       
and          CCONJ     
ensures      VERB      
to           PART      
be           AUX       
lower        ADJ       
BB           PROPN     

Named Entity Recognition:
BB                ORG
US                GPE
BB                ORG

--------------------------------------------------

Tokenization and POS Tagging:
Less         ADV       
challenging  ADJ       
for          ADP       
career       NOUN      
beginners    NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
In           ADP       
Corona       PROPN     
times        NOUN      
difficult    ADJ       
to           PART      
network      VERB      

Named Entity Recognition:
Corona            GPE

--------------------------------------------------

Tokenization and POS Tagging:
Monotone     NOUN      
work         NOUN      
and          CCONJ     
no           DET       
good         ADJ       
training     NOUN      

Named Entity Recognition:
Monotone          PRODUCT

--------------------------------------------------

Tokenization and POS Tagging:
There        PRON      
is           VERB      
not          PART      
many         ADJ       
Career       PROPN     
Development  PROPN     
Opportunities NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
i            PRON      
do           AUX       
nt           PART      
know         VERB      
anything     PRON      
about        ADP       
it           PRON      
thank        VERB      
you          PRON      
so           ADV       
much         ADV       

--------------------------------------------------

Tokenization and POS Tagging:
Heavy        ADJ       
workload     NOUN      
sometimes    ADV       
100h         NUM       
weeks        NOUN      

            SPACE     
Little       ADJ       
to           ADP       
no           DET       
understanding NOUN      
for          ADP       
workloads    NOUN      
balance      VERB      

Named Entity Recognition:
100h weeks        DATE

--------------------------------------------------

Tokenization and POS Tagging:
Internal     ADJ       
promotion    NOUN      
is           AUX       
difficult    ADJ       
Politics     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Responsibility NOUN      
,            PUNCT     
a            DET       
lot          NOUN      
of           ADP       
admin        NOUN      
work         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
None         NOUN      
.            PUNCT     
There        PRON      
are          VERB      
no           DET       
cons         NOUN      
whatsoever   ADV       

--------------------------------------------------

Tokenization and POS Tagging:
none         NOUN      
so           ADV       
far          ADV       
,            PUNCT     
was          AUX       
great        ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
Slow         ADJ       
growth       NOUN      
and          CCONJ     
you          PRON      
might        AUX       
need         VERB      
to           PART      
push         VERB      
harder       ADV       
to           PART      
get          VERB      
things       NOUN      
moving       VERB      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
commute      NOUN      
time         NOUN      
,            PUNCT     
quite        DET       
a            DET       
bit          NOUN      
of           ADP       
red          ADJ       
tape         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Very         ADV       
little       ADJ       
mentorship   NOUN      
and          CCONJ     
very         ADV       
vague        ADJ       
career       NOUN      
prospects    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Terrible     ADJ       
office       NOUN      

            SPACE     
Not          PART      
clear        ADJ       
policy       NOUN      
for          ADP       
promotion    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
can          AUX       
not          PART      
name         VERB      
any          PRON      
except       SCONJ     
usual        ADJ       
for          ADP       
large        ADJ       
banks        NOUN      
like         ADP       
bureaucracy  NOUN      
,            PUNCT     
poor         ADJ       
HR           NOUN      
processes    NOUN      
,            PUNCT     
no           DET       
full         ADJ       
remote       ADJ       
options      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
working      VERB      
hours        NOUN      
are          AUX       
typical      ADJ       
IB           NOUN      
hours        NOUN      

Named Entity Recognition:
The working hours TIME

--------------------------------------------------

Tokenization and POS Tagging:
Slow         ADJ       
moving       NOUN      
,            PUNCT     
you          PRON      
easily       ADV       
get          AUX       
burned       VERB      
out          ADP       
if           SCONJ     
you          PRON      
are          AUX       
devoted      ADJ       
to           PART      
innovate     VERB      
or           CCONJ     
establish    VERB      
sustainable  ADJ       
change       NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
processes    NOUN      
can          AUX       
take         VERB      
too          ADV       
long         ADV       
including    VERB      
hiring       VERB      
and          CCONJ     
horizontal   ADJ       
mobility     NOUN      
within       ADP       
the          DET       
bank         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Low          ADJ       
pay          NOUN      
.            PUNCT     
No           DET       
raises       VERB      
.            PUNCT     
No           DET       
stocks       NOUN      
.            PUNCT     
Promotions   NOUN      
are          AUX       
a            DET       
lottery      NOUN      
.            PUNCT     
No           DET       
full         ADJ       
remote       ADJ       
,            PUNCT     
awful        ADJ       
office       NOUN      
spaces       NOUN      
.            PUNCT     
Poor         ADJ       
engineering  NOUN      
culture      NOUN      
.            PUNCT     
Dull         NOUN      
projects     NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
You          PRON      
must         AUX       
enter        VERB      
at           ADV       
least        ADV       
5            NUM       
words        NOUN      
for          ADP       
Cons         PROPN     
.            PUNCT     

Named Entity Recognition:
at least 5        CARDINAL

--------------------------------------------------

Tokenization and POS Tagging:
Challagning  VERB      
work         NOUN      
life         NOUN      
balance      NOUN      
etc          NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
More         ADJ       
old          ADJ       
fashioned    ADJ       
,            PUNCT     
older        ADJ       
demographic  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
you          PRON      
might        AUX       
have         VERB      
to           PART      
travel       VERB      
,            PUNCT     
if           SCONJ     
you          PRON      
're          AUX       
not          PART      
into         ADP       
that         PRON      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Slow         ADJ       
promotions   NOUN      
,            PUNCT     
no           DET       
clear        ADJ       
communication NOUN      
on           ADP       
promotions   NOUN      
and          CCONJ     
bonuses      NOUN      
.            PUNCT     
Difficult    ADJ       
to           PART      
change       VERB      
roles        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
bank         NOUN      
going        VERB      
through      ADP       
a            DET       
cost         NOUN      
cutting      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Not          PART      
so           ADV       
cutting      VERB      
edge         NOUN      
tech         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
huge         ADJ       
product      NOUN      
knowledge    NOUN      
scattered    VERB      
in           ADP       
several      ADJ       
places       NOUN      
,            PUNCT     

            SPACE     
compliance   NOUN      
comes        VERB      
before       ADP       
innovation   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Very         ADV       
strong       ADJ       
emphasis     NOUN      
on           ADP       
cost         NOUN      
management   NOUN      
for          ADP       
several      ADJ       
years        NOUN      
leading      VERB      
to           ADP       
lack         NOUN      
of           ADP       
opportunities NOUN      
for          ADP       
external     ADJ       
self         NOUN      
-            PUNCT     
development  NOUN      
through      ADP       
conference   NOUN      
attendance   NOUN      
or           CCONJ     
trainings    NOUN      
,            PUNCT     
or           CCONJ     
indeed       ADV       
team         NOUN      
-            PUNCT     
building     NOUN      
through      ADP       
offsites     NOUN      
or           CCONJ     
in           ADP       
-            PUNCT     
person       NOUN      
meetings     NOUN      
.            PUNCT     

Named Entity Recognition:
several years     DATE

--------------------------------------------------

Tokenization and POS Tagging:
Not          PART      
alot         NOUN      
but          CCONJ     
beside       ADP       
the          DET       
Working      PROPN     
hours        NOUN      

Named Entity Recognition:
the Working hours TIME

--------------------------------------------------

Tokenization and POS Tagging:
Something    PRON      
’s           VERB      
everything   PRON      
was          AUX       
a            DET       
little       ADJ       
bit          NOUN      
stiff        ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
No           DET       
benefits     NOUN      
other        ADJ       
than         ADP       
the          DET       
salary       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
nicht        NOUN      
agile        ADJ       
enough       ADV       
,            PUNCT     
often        ADV       
project      NOUN      
delays       NOUN      

Named Entity Recognition:
nicht             ORG

--------------------------------------------------

Tokenization and POS Tagging:
Nothing      PRON      
to           PART      
say          VERB      
here         ADV       
it           PRON      
is           AUX       
exactly      ADV       
what         PRON      
you          PRON      
expect       VERB      
from         ADP       
a            DET       
big          ADJ       
company      NOUN      
hard         ADJ       
to           PART      
move         VERB      
upwards      ADV       

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
The          DET       
work         NOUN      
is           AUX       
super        ADV       
unorganized  ADJ       
.            PUNCT     

            SPACE     
-            PUNCT     
A            DET       
lot          NOUN      
of           ADP       
work         NOUN      
for          ADP       
the          DET       
money        NOUN      
,            PUNCT     
in           ADP       
Berlin       PROPN     
there        PRON      
is           VERB      
better       ADJ       
option       NOUN      
.            PUNCT     

            SPACE     
-            PUNCT     
It           PRON      
does         AUX       
n't          PART      
offers       VERB      
any          DET       
benefit      NOUN      
that         PRON      
other        ADJ       
tech         NOUN      
company      NOUN      
offers       VERB      
,            PUNCT     
for          ADP       
example      NOUN      
it           PRON      
does         AUX       
n't          PART      
offer        VERB      
the          DET       
1            NUM       
month        NOUN      
remote       ADJ       
work         NOUN      
from         ADP       
anywhere     ADV       
in           ADP       
Europe       PROPN     
like         ADP       
any          DET       
other        ADJ       
companies    NOUN      
do           VERB      
.            PUNCT     

            SPACE     
-            PUNCT     
Toxic        PROPN     
office       NOUN      
environments NOUN      
with         ADP       
huge         ADJ       
competitions NOUN      
between      ADP       
colleagues   NOUN      

            SPACE     
-            PUNCT     
you          PRON      
feel         VERB      
alone        ADV       

            SPACE     
-            PUNCT     
Huge         ADJ       
amount       NOUN      
of           ADP       
overtime     NOUN      
(            PUNCT     
not          PART      
paid         VERB      
)            PUNCT     

Named Entity Recognition:
Berlin            GPE
the 1 month       DATE
Europe            LOC

--------------------------------------------------

Tokenization and POS Tagging:
Slow         ADJ       
movement     NOUN      
to           ADP       
new          ADJ       
technologies NOUN      
,            PUNCT     
but          CCONJ     
mostly       ADV       
stack        NOUN      
is           AUX       
up           ADP       
to           ADP       
date         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Nothing      PRON      
to           PART      
say          VERB      
,            PUNCT     
really       ADV       
.            PUNCT     
Good         ADJ       
experience   NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Random       ADJ       
department   NOUN      
rotations    VERB      
without      ADP       
matching     VERB      
your         PRON      
skills       NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Hard         ADJ       
work         NOUN      

            SPACE     
No           DET       
time         NOUN      

            SPACE     
Stress       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Reputation   NOUN      
suffered     VERB      
due          ADP       
to           ADP       
leadership   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
very         ADV       
complex      ADJ       
as           ADP       
a            DET       
new          ADJ       
starter      NOUN      
to           PART      
navigate     VERB      
the          DET       
company      NOUN      
processes    NOUN      
,            PUNCT     
understand   VERB      
the          DET       
ways         NOUN      
of           ADP       
working      VERB      
and          CCONJ     
understand   VERB      
the          DET       
tasks        NOUN      
expected     VERB      
of           ADP       
you          PRON      
.            PUNCT     

            SPACE     
I            PRON      
would        AUX       
only         ADV       
attempt      VERB      
to           PART      
work         VERB      
here         ADV       
if           SCONJ     
you          PRON      
have         VERB      
strong       ADJ       
resilience   NOUN      
(            PUNCT     
grit         NOUN      
)            PUNCT     
to           ADP       
a            DET       
huge         ADJ       
amounts      NOUN      
of           ADP       
uncertainty  NOUN      
,            PUNCT     
daily        ADJ       
surprises    NOUN      
and          CCONJ     
last         ADJ       
minute       NOUN      
requests     NOUN      
.            PUNCT     
It           PRON      
's           AUX       
a            DET       
very         ADV       
unstructured ADJ       
place        NOUN      
to           PART      
work         VERB      
.            PUNCT     
But          CCONJ     
I            PRON      
see          VERB      
so           ADV       
much         ADJ       
potential    NOUN      
for          ADP       
process      NOUN      
optimisation NOUN      
and          CCONJ     
that         PRON      
's           AUX       
what         PRON      
motivates    VERB      
me           PRON      
to           PART      
stay         VERB      

Named Entity Recognition:
daily             DATE
last minute       TIME

--------------------------------------------------

Tokenization and POS Tagging:
No           DET       
possibility  NOUN      
to           PART      
work         VERB      
from         ADP       
abroad       ADV       

--------------------------------------------------

Tokenization and POS Tagging:
There        PRON      
may          AUX       
be           AUX       
disadvantages NOUN      
only         ADV       
depending    VERB      
on           ADP       
the          DET       
individual   ADJ       
project      NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Slow         ADJ       
move         NOUN      
to           ADP       
upper        ADJ       
levels       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
stressful    ADJ       
,            PUNCT     
because      SCONJ     
of           ADP       
big          ADJ       
reorganisation NOUN      
changes      NOUN      
we           PRON      
lost         VERB      
some         DET       
our          PRON      
team         NOUN      
members      NOUN      
and          CCONJ     
need         VERB      
to           PART      
manage       VERB      
now          ADV       
without      ADP       
them         PRON      
,            PUNCT     
utill        ADJ       
we           PRON      
hire         VERB      
more         ADJ       
people       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
none         NOUN      
of           ADP       
bad          ADJ       
experience   NOUN      
at           ADP       
this         DET       
company      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Unfortunately ADV       
the          DET       
salty        NOUN      
so           ADV       
not          PART      
in           ADP       
the          DET       
high         ADJ       
range        NOUN      
as           ADP       
other        ADJ       
companies    NOUN      
in           ADP       
the          DET       
same         ADJ       
field        NOUN      
.            PUNCT     
Depending    VERB      
on           ADP       
the          DET       
department   NOUN      
and          CCONJ     
team         NOUN      
,            PUNCT     
you          PRON      
might        AUX       
get          VERB      
a            DET       
stable       ADJ       
salary       NOUN      
increase     NOUN      
and          CCONJ     
jump         VERB      
into         ADP       
the          DET       
career       NOUN      
but          CCONJ     
in           ADP       
Berlin       PROPN     
unfortunately ADV       
can          AUX       
be           AUX       
quite        ADV       
slow         ADJ       
to           PART      
climb        VERB      
up           ADP       
.            PUNCT     
If           SCONJ     
you          PRON      
move         VERB      
I            PRON      
internally   ADV       
to           ADP       
a            DET       
higher       ADJ       
role         NOUN      
you          PRON      
might        AUX       
still        ADV       
have         VERB      
to           PART      
wait         VERB      
1year        NUM       
and          CCONJ     
half         NOUN      
before       ADP       
getting      VERB      
the          DET       
title        NOUN      
you          PRON      
applied      VERB      
to           ADP       
.            PUNCT     

Named Entity Recognition:
Berlin            GPE
1year             DATE
half              CARDINAL

--------------------------------------------------

Tokenization and POS Tagging:
Lots         NOUN      
of           ADP       
restrictions NOUN      
typical      ADJ       
for          ADP       
bank         NOUN      
employers    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
nothing      PRON      
really       ADV       
good         ADJ       
atmosphere   NOUN      
and          CCONJ     
spirit       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
atmosphere   NOUN      
was          AUX       
not          PART      
very         ADV       
nice         ADJ       
.            PUNCT     
Bosses       NOUN      
were         AUX       
not          PART      
always       ADV       
respectful   ADJ       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
slow         ADJ       
proccess     NOUN      
,            PUNCT     
takes        VERB      
a            DET       
lot          NOUN      
of           ADP       
time         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Slow         ADJ       
career       NOUN      
progression  NOUN      
.            PUNCT     
Hard         ADJ       
to           PART      
get          AUX       
promoted     VERB      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Beurocrasy   PROPN     
,            PUNCT     
business     NOUN      
is           AUX       
in           ADP       
own          ADJ       
budget       NOUN      
and          CCONJ     
separated    VERB      
from         ADP       
IT           PRON      
,            PUNCT     
but          CCONJ     
depends      VERB      
from         ADP       
IT           PRON      
with         ADP       
all          DET       
further      ADJ       
consiquenses NOUN      
,            PUNCT     
a            DET       
lot          NOUN      
of           ADP       
internal     ADJ       
and          CCONJ     
external     ADJ       
audit        NOUN      
and          CCONJ     
compliance   NOUN      
streams      NOUN      
,            PUNCT     
that         SCONJ     
development  NOUN      
groups       NOUN      
has          VERB      
to           PART      
deal         VERB      
with         ADP       
,            PUNCT     
very         ADV       
inefficient  ADJ       
,            PUNCT     
obsolete     ADJ       
and          CCONJ     
suboptimal   ADJ       
environment  NOUN      
management   NOUN      
tools        NOUN      
,            PUNCT     
sometimes    ADV       
contradictory ADJ       
,            PUNCT     
even         ADV       
idiotic      ADJ       
policies     NOUN      
about        ADP       
environment  NOUN      
management   NOUN      

Named Entity Recognition:
Beurocrasy        WORK_OF_ART

--------------------------------------------------

Tokenization and POS Tagging:
You          PRON      
will         AUX       
never        ADV       
earn         VERB      
good         ADJ       
money        NOUN      
with         ADP       
DB           PROPN     
.            PUNCT     

Named Entity Recognition:
DB                ORG

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
a            DET       
bit          NOUN      
hierarchical ADJ       
and          CCONJ     
conservative ADJ       
-            PUNCT     
internship   NOUN      
was          AUX       
a            PRON      
but          CCONJ     
unstructured ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
High         ADJ       
pressure     NOUN      
Poor         ADJ       
work         NOUN      
life         NOUN      
balance      NOUN      
No           DET       
education    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Is           AUX       
chaotic      ADJ       
and          CCONJ     
processes    NOUN      
take         VERB      
forever      ADV       

--------------------------------------------------

Tokenization and POS Tagging:
Employer     NOUN      
does         AUX       
n't          PART      
care         VERB      
about        ADP       
providing    VERB      
kicker       NOUN      
table        NOUN      
to           ADP       
employees    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Being        AUX       
in           ADP       
the          DET       
Berlin       PROPN     
office       NOUN      
you          PRON      
are          AUX       
away         ADV       
from         ADP       
the          DET       
HQ           PROPN     
hence        ADV       
lower        ADJ       
visibility   NOUN      
.            PUNCT     

Named Entity Recognition:
Berlin            GPE
HQ                GPE

--------------------------------------------------

Tokenization and POS Tagging:
Big          ADJ       
company      NOUN      
with         ADP       
bureaucracy  NOUN      
,            PUNCT     
Finance      PROPN     
sector       NOUN      
mean         VERB      
security     NOUN      
and          CCONJ     
restrictions NOUN      
,            PUNCT     
usually      ADV       
if           SCONJ     
you          PRON      
chose        VERB      
wrong        ADJ       
project      NOUN      
,            PUNCT     
you          PRON      
will         AUX       
have         VERB      
next         ADJ       
attempt      NOUN      
in           ADP       
next         ADJ       
year         NOUN      
.            PUNCT     

Named Entity Recognition:
next year         DATE

--------------------------------------------------

Tokenization and POS Tagging:
Opportunity  NOUN      
to           PART      
grow         VERB      
Diversity    PROPN     
and          CCONJ     
inclusion    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Being        AUX       
a            DET       
big          ADJ       
company      NOUN      
,            PUNCT     
the          DET       
processes    NOUN      
are          AUX       
too          ADV       
bureaucratic ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
internship   NOUN      
program      NOUN      
was          AUX       
not          PART      
very         ADV       
social       ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
I            PRON      
have         VERB      
nto          PROPN     
found        VERB      
any          DET       
cons         NOUN      
yet          ADV       

--------------------------------------------------

Tokenization and POS Tagging:
No           DET       
development  NOUN      
,            PUNCT     
no           DET       
training     NOUN      
possibilities NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
In           ADP       
-            PUNCT     
house        NOUN      
food         NOUN      
options      NOUN      
were         AUX       
too          ADV       
expensive    ADJ       
for          ADP       
a            DET       
comparatively ADV       
low          ADJ       
quality      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Legacy       PROPN     
brings       VERB      
past         ADV       
into         ADP       
the          DET       
present      NOUN      
constantly   ADV       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Some         DET       
politics     NOUN      
for          ADP       
career       NOUN      
growth       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Career       NOUN      
only         ADV       
based        VERB      
on           ADP       
networking   VERB      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
bureaucracy  NOUN      
-            PUNCT     
slow         ADJ       
adapting     NOUN      
of           ADP       
new          ADJ       
technologies NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
No           DET       
interesting  ADJ       
work         NOUN      
given        VERB      
to           ADP       
interns      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
i            PRON      
hated        VERB      
the          DET       
stress       NOUN      
at           ADP       
work         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Security     NOUN      
restrictions NOUN      
and          CCONJ     
paper        NOUN      
work         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Complex      PROPN     
IT           NOUN      
systems      NOUN      
might        AUX       
slow         VERB      
down         ADP       
processes    NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Tons         NOUN      
of           ADP       
bureaucracy  NOUN      
,            PUNCT     
legacy       NOUN      
projects     NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Deutsche     PROPN     
Bank         PROPN     
can          AUX       
be           AUX       
quite        ADV       
bureaucratic ADJ       

Named Entity Recognition:
Deutsche Bank     ORG

--------------------------------------------------

Tokenization and POS Tagging:
not          PART      
many         ADJ       
cons         NOUN      
for          ADP       
working      VERB      
at           ADP       
d            PROPN     
bank         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Politically  ADV       
very         ADV       
correct      ADJ       
and          CCONJ     
you          PRON      
see          VERB      
internal     ADJ       
communications NOUN      
tailored     VERB      
to           ADP       
it           PRON      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Lots         NOUN      
of           ADP       
process      NOUN      
and          CCONJ     
slow         VERB      

--------------------------------------------------

Tokenization and POS Tagging:
Workload     NOUN      
and          CCONJ     
tasks        NOUN      
within       ADP       
the          DET       
rotations    NOUN      
solely       ADV       
depend       VERB      
on           ADP       
the          DET       
teams        NOUN      
you          PRON      
rotate       VERB      
too          ADV       
.            PUNCT     
There        PRON      
should       AUX       
be           AUX       
a            DET       
general      ADJ       
procedure    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
At           ADP       
least        ADJ       
in           ADP       
departments  NOUN      
that         PRON      
are          AUX       
n't          PART      
about        ADP       
generating   VERB      
revenue      NOUN      
,            PUNCT     
there        PRON      
's           VERB      
not          PART      
much         ADV       
advanced     ADJ       
technology   NOUN      
to           PART      
work         VERB      
with         ADP       
and          CCONJ     
there        PRON      
's           VERB      
a            DET       
lot          NOUN      
of           ADP       
red          ADJ       
tape         NOUN      
in           ADP       
trying       VERB      
to           PART      
improve      VERB      
processes    NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Work         NOUN      
could        AUX       
get          VERB      
intense      ADJ       
Not          PART      
easy         ADJ       
to           PART      
get          VERB      
Salary       NOUN      
increase     NOUN      
Compensation PROPN     
is           AUX       
not          PART      
competitive  ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
Not          PART      
to           PART      
bad          ADJ       
at           ADV       
all          ADV       

--------------------------------------------------

Tokenization and POS Tagging:
Ofcourse     INTJ      
nothing      PRON      
much         ADV       
same         ADJ       
as           ADP       
other        ADJ       
big          ADJ       
companies    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Dress        NOUN      
code         NOUN      
can          AUX       
be           AUX       
a            DET       
problem      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
not          PART      
as           ADV       
friendly     ADJ       
for          ADP       
non          ADJ       
-            ADJ       
european     ADJ       

Named Entity Recognition:
non-european      NORP

--------------------------------------------------

Tokenization and POS Tagging:
Having       VERB      
lots         NOUN      
of           ADP       
regulations  NOUN      
that         PRON      
are          AUX       
required     VERB      
to           PART      
be           AUX       
met          VERB      
.            PUNCT     
Not          PART      
enough       ADV       
/            SYM       
very         ADV       
busy         ADJ       
people       NOUN      
in           ADP       
infra        ADJ       
teams        NOUN      
to           PART      
provide      VERB      
quick        ADJ       
support      NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Restrictions NOUN      
,            PUNCT     
salary       NOUN      
level        NOUN      
,            PUNCT     
impossible   ADJ       
to           PART      
upgrade      VERB      
your         PRON      
rank         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
A            DET       
classic      ADJ       
,            PUNCT     
burocratic   ADJ       
,            PUNCT     
banking      NOUN      
enironment   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Bad          ADJ       
work         NOUN      
life         NOUN      
balance      NOUN      
Legacy       PROPN     
code         NOUN      

Named Entity Recognition:
Legacy code       PRODUCT

--------------------------------------------------

Tokenization and POS Tagging:
nothing      PRON      
at           ADV       
all          ADV       
.            PUNCT     
just         ADV       
the          DET       
starting     NOUN      
salary       NOUN      
could        AUX       
be           AUX       
higher       ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
Some         DET       
tech         NOUN      
related      VERB      
topics       NOUN      
feel         VERB      
a            DET       
bit          NOUN      
outdated     ADJ       
.            PUNCT     
Not          PART      
the          DET       
most         ADV       
tech         ADJ       
savy         ADJ       
company      NOUN      
,            PUNCT     
nor          CCONJ     
the          DET       
most         ADV       
engineering  NOUN      
first        ADV       
minded       ADJ       
.            PUNCT     
Onboarding   NOUN      
not          PART      
great        ADJ       
.            PUNCT     
Hardware     NOUN      
not          PART      
great        ADJ       
,            PUNCT     
special      ADJ       
request      NOUN      
if           SCONJ     
you          PRON      
need         VERB      
a            DET       
Macbook      PROPN     
as           ADP       
a            DET       
developer    NOUN      
,            PUNCT     
,            PUNCT     

Named Entity Recognition:
first             ORDINAL
Macbook           ORG

--------------------------------------------------

Tokenization and POS Tagging:
Still        ADV       
Very         ADV       
bureaucratic ADJ       
and          CCONJ     
old          ADJ       
school       NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Long         ADJ       
,            PUNCT     
intense      ADJ       
and          CCONJ     
stressful    ADJ       
hours        NOUN      

Named Entity Recognition:
hours             TIME

--------------------------------------------------

Tokenization and POS Tagging:
From         ADP       
my           PRON      
perspective  NOUN      
not          PART      
so           ADV       
many         ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
Promotion    NOUN      
is           AUX       
promised     VERB      
but          CCONJ     
does         AUX       
not          PART      
happen       VERB      
to           ADP       
many         ADJ       
employees    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Some         DET       
male         ADJ       
colleagues   NOUN      
exhibit      VERB      
toxic        ADJ       
behavior     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
At           ADP       
closed       ADJ       
days         NOUN      
there        PRON      
was          VERB      
not          PART      
much         ADJ       
to           PART      
do           VERB      
but          CCONJ     
either       DET       
way          NOUN      
was          AUX       
I            PRON      
able         ADJ       
to           PART      
gain         VERB      
more         ADV       
theoretical  ADJ       
knowledge    NOUN      
about        ADP       
banking      NOUN      
while        SCONJ     
waiting      VERB      
for          ADP       
new          ADJ       
tasks        NOUN      
.            PUNCT     

Named Entity Recognition:
days              DATE

--------------------------------------------------

Tokenization and POS Tagging:
Long         ADJ       
hours        NOUN      
,            PUNCT     
no           DET       
cons         NOUN      
at           ADV       
all          ADV       

--------------------------------------------------

Tokenization and POS Tagging:
There        PRON      
is           VERB      
not          PART      
vision       NOUN      
to           PART      
improve      VERB      

--------------------------------------------------

Tokenization and POS Tagging:
As           ADP       
at           ADP       
big          ADJ       
companies    NOUN      
quite        ADV       
often        ADV       
you          PRON      
can          AUX       
face         VERB      
with         ADP       
bureaucracy  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
No           DET       
career       NOUN      
development  NOUN      
or           CCONJ     
support      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
No           DET       
certain      ADJ       
way          NOUN      
to           PART      
ensure       VERB      
your         PRON      
career       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
no           DET       
cons         NOUN      
,            PUNCT     
nothing      PRON      
to           PART      
say          VERB      
here         ADV       

--------------------------------------------------

Tokenization and POS Tagging:
Work         NOUN      
is           AUX       
n't          PART      
always       ADV       
the          DET       
most         ADV       
exciting     ADJ       
and          CCONJ     
there        PRON      
's           VERB      
a            DET       
lot          NOUN      
of           ADP       
tardiness    NOUN      
at           ADP       
each         DET       
step         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Corporate    ADJ       
structure    NOUN      
,            PUNCT     
career       NOUN      
path         NOUN      
delays       NOUN      
when         SCONJ     
starting     VERB      

--------------------------------------------------

Tokenization and POS Tagging:
-company     ADJ       
culture      NOUN      
-not         VERB      
many         ADJ       
activities   NOUN      
for          ADP       
employees    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
quite        ADV       
conservative ADJ       
,            PUNCT     
lack         NOUN      
of           ADP       
clear        ADJ       
internal     ADJ       
communication NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
There        PRON      
is           VERB      
not          PART      
much         ADJ       
communication NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
sometimes    ADV       
unnecessary  ADJ       
work         NOUN      
,            PUNCT     
back         ADV       
and          CCONJ     
forth        ADV       
with         ADP       
other        ADJ       
teams        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
A            DET       
lot          NOUN      
of           ADP       
legacy       NOUN      
.            PUNCT     
Competition  NOUN      
between      ADP       
teams        NOUN      
for          ADP       
resources    NOUN      
so           ADV       
two          NUM       
teams        NOUN      
can          AUX       
do           VERB      
the          DET       
same         ADJ       
to           PART      
achieve      VERB      
promotion    NOUN      
goals        NOUN      
.            PUNCT     
There        PRON      
are          VERB      
no           DET       
cooperation  NOUN      
between      ADP       
teams        NOUN      
to           PART      
reach        VERB      
organisation NOUN      
goals        NOUN      
.            PUNCT     

Named Entity Recognition:
two               CARDINAL

--------------------------------------------------

Tokenization and POS Tagging:
Below        ADP       
the          DET       
average      ADJ       
salary       NOUN      
level        NOUN      
for          ADP       
high         ADJ       
skilled      ADJ       
employees    NOUN      
.            PUNCT     
Promotion    NOUN      
requirements NOUN      
for          ADP       
technically  ADV       
inclined     ADJ       
employees    NOUN      
are          AUX       
vague        ADJ       
and          CCONJ     
the          DET       
final        ADJ       
decision     NOUN      
usually      ADV       
depends      VERB      
on           ADP       
personal     ADJ       
relationship NOUN      
with         ADP       
the          DET       
manager      NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Bureaucracy  NOUN      
and          CCONJ     
extra        ADJ       
hours        NOUN      
are          AUX       
not          PART      
being        AUX       
paid         VERB      

--------------------------------------------------

Tokenization and POS Tagging:
Workload     NOUN      
,            PUNCT     
tiring       ADJ       
,            PUNCT     
client       NOUN      
requirements NOUN      
adhoc        ADV       

Named Entity Recognition:
adhoc             TIME

--------------------------------------------------

Tokenization and POS Tagging:
Low          ADJ       
growth       NOUN      
potential    NOUN      
,            PUNCT     
demotivating VERB      
management   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
No           DET       
Training     PROPN     
Bonus        PROPN     
,            PUNCT     
Lots         NOUN      
of           ADP       
Budget       PROPN     
cuts         NOUN      
,            PUNCT     
No           DET       
travel       NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Bureaucracy  NOUN      
and          CCONJ     
Management   PROPN     
,            PUNCT     
work         NOUN      
life         NOUN      
imbalance    NOUN      
,            PUNCT     
unrealistic  ADJ       
targets      NOUN      

Named Entity Recognition:
Bureaucracy and Management ORG

--------------------------------------------------

Tokenization and POS Tagging:
long         ADJ       
commute      NOUN      
,            PUNCT     
no           DET       
parking      NOUN      
places       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Work         VERB      
from         ADP       
home         NOUN      
only         ADV       
2            NUM       
days         NOUN      
a            DET       
week         NOUN      
!            PUNCT     
Mostly       ADV       
Russian      ADJ       
staff        NOUN      
speaks       VERB      
in           ADP       
Russian      PROPN     
in           ADP       
office       NOUN      
.            PUNCT     

Named Entity Recognition:
only 2 days       DATE
Russian           NORP
Russian           NORP

--------------------------------------------------

Tokenization and POS Tagging:
Salary       NOUN      
,            PUNCT     
bureaucracy  NOUN      
,            PUNCT     
promotion    NOUN      
process      NOUN      
,            PUNCT     
legacy       PROPN     
code         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Burocracy    NOUN      
,            PUNCT     
difficult    ADJ       
and          CCONJ     
slow         ADJ       
promotion    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
there        PRON      
is           VERB      
a            DET       
ceiling      NOUN      
when         SCONJ     
it           PRON      
comes        VERB      
to           ADP       
corporate    ADJ       
title        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Very         ADV       
Corporate    ADJ       
environment  NOUN      
.            PUNCT     
old          ADJ       
fashioned    VERB      

--------------------------------------------------

Tokenization and POS Tagging:
Too          ADV       
many         ADJ       
tasks        NOUN      
that         PRON      
we           PRON      
were         AUX       
n't          PART      
ready        ADJ       
to           PART      
handle       VERB      
as           SCONJ     
we           PRON      
were         AUX       
only         ADV       
two          NUM       
interns      NOUN      
.            PUNCT     

Named Entity Recognition:
only two          CARDINAL

--------------------------------------------------

Tokenization and POS Tagging:
Bureaucracy  NOUN      
,            PUNCT     
politics     NOUN      
,            PUNCT     
slow         ADJ       
hiring       NOUN      
processes    NOUN      
,            PUNCT     
poor         ADJ       
IT           PROPN     
infrastructure NOUN      
,            PUNCT     
slow         ADJ       
promotion    NOUN      
process      NOUN      
,            PUNCT     
cost         NOUN      
savings      NOUN      
,            PUNCT     
non          NOUN      
-            NOUN      
appreciation NOUN      
of           ADP       
current      ADJ       
staff        NOUN      
by           ADP       
some         DET       
managers     NOUN      
(            PUNCT     
same         ADJ       
salary       NOUN      
and          CCONJ     
conditions   NOUN      
as           ADP       
for          ADP       
external     ADJ       
new          ADJ       
joiners      NOUN      
)            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Compensation NOUN      
development  NOUN      
,            PUNCT     
team         NOUN      
&            CCONJ     
training     NOUN      
budget       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
GOOD         ADJ       
asmotsphere  NOUN      
,            PUNCT     
pay          VERB      
good         ADJ       
,            PUNCT     
nice         ADJ       
co           NOUN      
-            NOUN      
workers      NOUN      

Named Entity Recognition:
GOOD asmotsphere  PERSON

--------------------------------------------------

Tokenization and POS Tagging:
Bad          ADJ       
work         NOUN      
life         NOUN      
balance      NOUN      
Bad          ADJ       
company      NOUN      
governance   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
*            PUNCT     
hierarchical ADJ       
and          CCONJ     
silo         ADJ       
organisation NOUN      
*            PUNCT     
no           DET       
investment   NOUN      
into         ADP       
own          ADJ       
human        ADJ       
capital      NOUN      
(            PUNCT     
limited      ADJ       
training     NOUN      
and          CCONJ     
continuous   ADJ       
development  NOUN      
,            PUNCT     
nearly       ADV       
every        PRON      
professional ADJ       
fades        VERB      
away         ADV       
in           ADP       
a            DET       
bureaucratic ADJ       
processes    NOUN      
,            PUNCT     
specialist   NOUN      
and          CCONJ     
IT           NOUN      
experts      NOUN      
loosing      VERB      
hard         ADJ       
skills       NOUN      
and          CCONJ     
becoming     VERB      
project      NOUN      
managers     NOUN      
of           ADP       
external     ADJ       
employees    NOUN      
)            PUNCT     
*            PUNCT     
lots         NOUN      
of           ADP       
about        ADP       
company      NOUN      
culture      NOUN      
and          CCONJ     
technology   NOUN      
is           AUX       
only         ADV       
a            DET       
marketing    NOUN      
,            PUNCT     
in           ADP       
reality      NOUN      
technology   NOUN      
and          CCONJ     
human        NOUN      
processes    NOUN      
are          AUX       
like         ADP       
10           NUM       
-            SYM       
20           NUM       
years        NOUN      
ago          ADV       
,            PUNCT     
fake         ADJ       
speak        NOUN      
-            PUNCT     
up           NOUN      
,            PUNCT     
agile        ADJ       
and          CCONJ     
leadership   NOUN      
culture      NOUN      
.            PUNCT     
*            PUNCT     
low          ADJ       
transparency NOUN      
of           ADP       
promotion    NOUN      
rules        NOUN      
,            PUNCT     
nepotism     NOUN      
of           ADP       
internal     ADJ       
networks     NOUN      
*            PUNCT     
HR           NOUN      
is           AUX       
consistently ADV       
working      VERB      
against      ADP       
own          ADJ       
employees    NOUN      
(            PUNCT     
ca           AUX       
n't          PART      
do           AUX       
,            PUNCT     
ca           AUX       
n't          PART      
support      VERB      
,            PUNCT     
squeeze      NOUN      
salaries     NOUN      
)            PUNCT     
*            PUNCT     
remuneration NOUN      
is           AUX       
systematically ADV       
8%-15        NUM       
%            NOUN      
lower        ADJ       
then         ADV       
with         ADP       
competitors  NOUN      
,            PUNCT     
longer       ADV       
a            DET       
person       NOUN      
stay         VERB      
,            PUNCT     
worse        ADJ       
it           PRON      
is           AUX       
.            PUNCT     
*            PUNCT     
Poor         ADJ       
Work         NOUN      
from         ADP       
Home         NOUN      
(            PUNCT     
cost         VERB      
heavily      ADV       
on           ADP       
employees    NOUN      
)            PUNCT     
,            PUNCT     
limited      VERB      
only         ADV       
on           ADP       
Germany      PROPN     
,            PUNCT     
poor         ADJ       
technology   NOUN      
to           PART      
support      VERB      
effectiveness NOUN      
.            PUNCT     

Named Entity Recognition:
10-20 years ago   DATE
8%-15%            PERCENT
Germany           GPE

--------------------------------------------------

Tokenization and POS Tagging:
*            PUNCT     
underpayment NOUN      
*            PUNCT     
legacy       NOUN      
tech         NOUN      
stack        NOUN      
if           SCONJ     
you          PRON      
are          AUX       
not          PART      
so           ADV       
lucky        ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
No           DET       
cons         NOUN      
to           PART      
mention      VERB      
here         ADV       

--------------------------------------------------

Tokenization and POS Tagging:
no           DET       
fixed        VERB      
income       NOUN      
,            PUNCT     
only         ADV       
provisions   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
the          DET       
systems      NOUN      
are          AUX       
quite        ADV       
old          ADJ       
-            PUNCT     
everything   PRON      
takes        VERB      
time         NOUN      
-too         ADV       
many         ADJ       
approvals    NOUN      
to           PART      
make         VERB      
change       NOUN      
-            PUNCT     
repetitive   ADJ       
tasks        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Large        ADJ       
firm         NOUN      
,            PUNCT     
politics     NOUN      
,            PUNCT     
good         ADJ       
old          ADJ       
boy          NOUN      
style        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
I            PRON      
think        VERB      
this         PRON      
is           AUX       
Lots         NOUN      
of           ADP       
bureaucracy  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Very         ADV       
slow         ADJ       
process      NOUN      
overall      ADV       
.            PUNCT     
Sometimes    ADV       
it           PRON      
becomes      VERB      
boring       ADJ       
when         SCONJ     
it           PRON      
comes        VERB      
to           ADP       
process      NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Not          PART      
many         ADJ       
events       NOUN      
between      ADP       
different    ADJ       
departments  NOUN      
to           PART      
get          VERB      
to           PART      
know         VERB      
each         DET       
other        ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
Too          ADV       
many         ADJ       
people       NOUN      
speak        VERB      
german       NOUN      

Named Entity Recognition:
german            NORP

--------------------------------------------------

Tokenization and POS Tagging:
poor         ADJ       
management   NOUN      
,            PUNCT     
everything   PRON      
takes        VERB      
forever      ADV       

--------------------------------------------------

Tokenization and POS Tagging:
everything   PRON      
is           AUX       
bureaucratic ADJ       
and          CCONJ     
slow         ADJ       
.            PUNCT     
nothing      PRON      
can          AUX       
be           AUX       
solved       VERB      
quickly      ADV       
.            PUNCT     
MY           NOUN      
department   NOUN      
had          VERB      
no           DET       
career       NOUN      
plan         NOUN      
or           CCONJ     
progression  NOUN      
with         ADP       
workers      NOUN      
doing        VERB      
the          DET       
same         ADJ       
work         NOUN      
with         ADP       
the          DET       
same         ADJ       
pay          NOUN      
/            SYM       
title        NOUN      
for          ADP       
6            NUM       
years        NOUN      
.            PUNCT     
No           DET       
one          NOUN      
gives        VERB      
you          PRON      
a            DET       
straight     ADJ       
answer       NOUN      
about        ADP       
anything     PRON      
.            PUNCT     
Hard         ADV       
to           PART      
get          VERB      
things       NOUN      
done         VERB      
.            PUNCT     

Named Entity Recognition:
6 years           DATE

--------------------------------------------------

Tokenization and POS Tagging:
Pays         NOUN      
less         ADJ       
than         ADP       
competitors  NOUN      
in           ADP       
the          DET       
market       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Bureaucracy  NOUN      
,            PUNCT     
projects     NOUN      
can          AUX       
have         VERB      
long         ADJ       
and          CCONJ     
slow         ADJ       
implementation NOUN      
timelines    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
It           PRON      
have         VERB      
a            DET       
lot          NOUN      
of           ADP       
bureaucracy  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Still        ADV       
some         DET       
way          NOUN      
to           PART      
go           VERB      
regarding    VERB      
infrastructure NOUN      
but          CCONJ     
heading      VERB      
in           ADP       
the          DET       
right        ADJ       
direction    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
no           DET       
remote       ADJ       
working      NOUN      
,            PUNCT     
bad          ADJ       
work         NOUN      
-            PUNCT     
life         NOUN      
-            PUNCT     
balance      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Bit          VERB      
slow         ADV       
on           ADP       
decisions    NOUN      
making       VERB      
and          CCONJ     
changes      NOUN      
,            PUNCT     
but          CCONJ     
it           PRON      
is           AUX       
a            DET       
huge         ADJ       
organization NOUN      
and          CCONJ     
makes        VERB      
sense        NOUN      
sometimes    ADV       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Tech         NOUN      
is           AUX       
bad          ADJ       
and          CCONJ     
slow         VERB      

Named Entity Recognition:
Tech              ORG

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Teilweise    NOUN      
schwierige   VERB      
Prozesse     PROPN     

            SPACE     
-            PUNCT     
Langjährige  PROPN     
Mitarbeiter  PROPN     
beharren     PROPN     
auf          PROPN     
alte         PROPN     
Vorgehensweisen PROPN     

Named Entity Recognition:
schwierige Prozesse
- PERSON

--------------------------------------------------

Tokenization and POS Tagging:
work         VERB      
slow         ADJ       
and          CCONJ     
boring       ADJ       

            SPACE     
progression  NOUN      
and          CCONJ     
salary       NOUN      
increment    NOUN      
not          PART      
so           ADV       
promising    VERB      

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
Working      PROPN     
subjects     NOUN      
were         AUX       
rather       ADV       
boring       ADJ       
,            PUNCT     
no           DET       
change       NOUN      
in           ADP       
topics       NOUN      

            SPACE     
Difficult    ADJ       
management   NOUN      
,            PUNCT     

            SPACE     
The          DET       
place        NOUN      
to           PART      
work         NOUN      
was          AUX       
a            DET       
bit          NOUN      
far          ADV       
away         ADV       
.            PUNCT     
Furthermore  ADV       
,            PUNCT     
"            PUNCT     
flexible     ADJ       
"            PUNCT     
seating      NOUN      
was          AUX       
announced    VERB      
.            PUNCT     
However      ADV       
,            PUNCT     
all          DET       
other        ADJ       
team         NOUN      
mebers       NOUN      
had          VERB      
their        PRON      
"            PUNCT     
fixed        VERB      
"            PUNCT     
seats        NOUN      

Named Entity Recognition:
Working           ORG

--------------------------------------------------

Tokenization and POS Tagging:
Internationally ADV       
there        PRON      
are          VERB      
stronger     ADJ       
brands       NOUN      
;            PUNCT     
if           SCONJ     
you          PRON      
want         VERB      
to           PART      
pursue       VERB      
international ADJ       
career       NOUN      
(            PUNCT     
UK           PROPN     
,            PUNCT     
US           PROPN     
)            PUNCT     
,            PUNCT     
DB           PROPN     
is           AUX       
potentially  ADV       
not          PART      
the          DET       
type         NOUN      
of           ADP       
brand        NOUN      
it           PRON      
used         VERB      
to           PART      
be           AUX       
few          ADJ       
years        NOUN      
ago          ADV       

Named Entity Recognition:
UK                GPE
US                GPE
DB                ORG
few years ago     DATE

--------------------------------------------------

Tokenization and POS Tagging:
Sometimes    ADV       
the          DET       
possibilities NOUN      
of           ADP       
promotion    NOUN      
are          AUX       
low          ADJ       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Very         ADV       
slow         ADJ       
processes    NOUN      
,            PUNCT     
bad          ADJ       
career       NOUN      
prospects    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Pay          NOUN      
could        AUX       
be           AUX       
better       ADJ       
and          CCONJ     
flexible     ADJ       
working      NOUN      
could        AUX       
be           AUX       
more         ADJ       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
No           DET       
cons         NOUN      
so           ADV       
far          ADV       
in           ADP       
the          DET       
org          NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
sometimes    ADV       
they         PRON      
do           AUX       
not          PART      
have         VERB      
official     ADJ       
internship   NOUN      
programs     NOUN      
that         PRON      
leads        VERB      
to           ADP       
you          PRON      
sometimes    ADV       
doing        VERB      
less         ADJ       
than         ADP       
other        ADJ       
interns      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
overload     NOUN      
with         ADP       
work         NOUN      
,            PUNCT     
poor         ADJ       
life         NOUN      
-            PUNCT     
work         NOUN      
balance      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Working      ADJ       
hours        NOUN      
,            PUNCT     
salary       NOUN      
dumping      NOUN      
,            PUNCT     
internal     ADJ       
career       NOUN      
progress     NOUN      
ist          NOUN      
complex      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Hybrid       NOUN      
not          PART      
remote       ADJ       
remote       ADJ       
remote       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Cafeteria    PROPN     
is           AUX       
too          ADV       
expensive    ADJ       
and          CCONJ     
no           DET       
lunch        NOUN      
support      NOUN      
as           ADP       
intern       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Bad          ADJ       
management   NOUN      
is           AUX       
driving      VERB      
talent       NOUN      
away         ADV       

--------------------------------------------------

Tokenization and POS Tagging:
I            PRON      
think        VERB      
that         SCONJ     
sometimes    ADV       
have         VERB      
a            DET       
traffic      NOUN      
jam          NOUN      
outside      ADP       

--------------------------------------------------

Tokenization and POS Tagging:
Bureaucratic ADJ       
,            PUNCT     
slow         ADJ       
,            PUNCT     
poor         ADJ       
data         NOUN      
availability NOUN      
and          CCONJ     
governance   NOUN      
,            PUNCT     
few          ADJ       
to           ADP       
no           DET       
opportunities NOUN      
to           PART      
meet         VERB      
all          DET       
team         NOUN      
members      NOUN      
in           ADP       
person       NOUN      
or           CCONJ     
even         ADV       
by           ADP       
video        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Too          ADV       
much         ADJ       
work         NOUN      

            SPACE     
Not          PART      
remote       ADJ       

            SPACE     
Can          AUX       
be           AUX       
a            DET       
bit          NOUN      
better       ADJ       
in           ADP       
terms        NOUN      
of           ADP       
pay          NOUN      

            SPACE     
Can          AUX       
have         VERB      
better       ADJ       
perks        NOUN      

            SPACE     
Limited      PROPN     
paid         VERB      
leave        NOUN      

Named Entity Recognition:
Limited           ORG

--------------------------------------------------

Tokenization and POS Tagging:
wages        NOUN      
,            PUNCT     
opportunities NOUN      
,            PUNCT     
wrong        ADJ       
location     NOUN      
,            PUNCT     
and          CCONJ     
that         PRON      
s            VERB      
it           PRON      

--------------------------------------------------

Tokenization and POS Tagging:
Typical      ADJ       
multinational ADJ       
environment  NOUN      

            SPACE     
Compensation PROPN     
could        AUX       
be           AUX       
better       ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
Compensation NOUN      
is           AUX       
low          ADJ       
compared     VERB      
to           ADP       
other        ADJ       
employer     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Company      NOUN      
vision       NOUN      
changes      VERB      
too          ADV       
frequently   ADV       

            SPACE     
Management   PROPN     
wants        VERB      
to           PART      
invest       VERB      
in           ADP       
technology   NOUN      
but          CCONJ     
can          AUX       
never        ADV       
deliver      VERB      

--------------------------------------------------

Tokenization and POS Tagging:
No           DET       
real         ADJ       
cons         NOUN      
in           ADP       
the          DET       
working      VERB      
environment  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Its          PRON      
a            DET       
bank         NOUN      
not          PART      
a            DET       
FANG         PROPN     
like         ADP       
company      NOUN      
.            PUNCT     
Do           AUX       
nt           PART      
expect       VERB      
fancy        ADJ       
staff        NOUN      
here         ADV       
:)           PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
I            PRON      
just         ADV       
started      VERB      
there        ADV       
.            PUNCT     
Would        AUX       
add          VERB      
them         PRON      
when         SCONJ     
I            PRON      
know         VERB      

--------------------------------------------------

Tokenization and POS Tagging:
Teilweise    INTJ      
unfreundliche PROPN     
Mitarbeiter  PROPN     
,            PUNCT     
kommt        PROPN     
öfter        PROPN     
vor          PROPN     

Named Entity Recognition:
Mitarbeiter       GPE
kommt öfter vor   PERSON

--------------------------------------------------

Tokenization and POS Tagging:
lack         NOUN      
of           ADP       
support      NOUN      
for          ADP       
working      VERB      
from         ADP       
home         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
long         ADV       
working      VERB      
hours        NOUN      
and          CCONJ     
high         ADJ       
pressure     NOUN      

Named Entity Recognition:
long working hours TIME

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
organization NOUN      
is           AUX       
somewhat     ADV       
hierarchical ADJ       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Rigid        ADJ       
structure    NOUN      

            SPACE     
Focus        PROPN     
on           ADP       
corporate    ADJ       
politics     NOUN      
not          PART      
capabilities NOUN      
or           CCONJ     
deliverables NOUN      

            SPACE     
In           ADP       
order        NOUN      
to           PART      
further      VERB      
your         PRON      
career       NOUN      
you          PRON      
must         AUX       
focus        VERB      
on           ADP       
knowing      VERB      
people       NOUN      
,            PUNCT     
letting      VERB      
problems     NOUN      
compound     VERB      
and          CCONJ     
increase     NOUN      
,            PUNCT     
produce      VERB      
powerpoints  NOUN      
and          CCONJ     
hold         VERB      
presentations NOUN      
on           ADP       
how          SCONJ     
you          PRON      
will         AUX       
be           AUX       
the          DET       
savior       NOUN      
.            PUNCT     

Named Entity Recognition:
Focus             ORG

--------------------------------------------------

Tokenization and POS Tagging:
Big          ADJ       
organisation NOUN      
and          CCONJ     
slow         ADJ       
decisions    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Very         ADV       
slow         ADJ       
to           PART      
adopt        VERB      
to           ADP       
new          ADJ       
technologies NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
depends      VERB      
very         ADV       
much         ADV       
on           ADP       
department   NOUN      
,            PUNCT     
but          CCONJ     
sinking      VERB      
and          CCONJ     
negative     ADJ       
atmosphere   NOUN      
,            PUNCT     
no           DET       
one          NOUN      
cares        VERB      
about        ADP       
your         PRON      
feel         NOUN      
,            PUNCT     
forget       VERB      
about        ADP       
support      NOUN      
from         ADP       
senior       ADJ       
management   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Typical      ADJ       
German       ADJ       
bureaucracy  NOUN      
.            PUNCT     

            SPACE     
Way          NOUN      
behind       ADP       
other        ADJ       
companies    NOUN      
/            SYM       
banks        NOUN      
in           ADP       
implementing VERB      
new          ADJ       
stuff        NOUN      

Named Entity Recognition:
German            NORP

--------------------------------------------------

Tokenization and POS Tagging:
Lots         NOUN      
of           ADP       
office       NOUN      
politics     NOUN      
and          CCONJ     
a            DET       
horrible     ADJ       
promotion    NOUN      
process      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
at           ADP       
times        NOUN      
brutal       ADJ       
hours        NOUN      
,            PUNCT     
processes    NOUN      
from         ADP       
a            DET       
time         NOUN      
when         SCONJ     
the          DET       
company      NOUN      
was          AUX       
2x           NOUN      
the          DET       
size         NOUN      
,            PUNCT     
corporate    ADJ       
red          ADJ       
tape         NOUN      
at           ADP       
its          PRON      
worst        ADJ       

Named Entity Recognition:
hours             TIME
2x                CARDINAL

--------------------------------------------------

Tokenization and POS Tagging:
Difficult    ADJ       
work         NOUN      
-            PUNCT     
life         NOUN      
balance      NOUN      
in           ADP       
Senior       PROPN     
Positions    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Very         ADV       
hierarchical ADJ       
,            PUNCT     
little       ADJ       
room         NOUN      
for          ADP       
own          ADJ       
initiatives  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Hard         ADJ       
work         NOUN      
spare        ADJ       
time         NOUN      
City         PROPN     

--------------------------------------------------

Tokenization and POS Tagging:
It           PRON      
takes        VERB      
time         NOUN      
to           PART      
be           AUX       
senior       ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
I            PRON      
could        AUX       
say          VERB      
nothing      PRON      
here         ADV       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
It           PRON      
has          VERB      
too          ADV       
many         ADJ       
Litigations  PROPN     
against      ADP       
it           PRON      
reflecting   VERB      
bonus        NOUN      
.            PUNCT     

Named Entity Recognition:
Litigations       ORG

--------------------------------------------------

Tokenization and POS Tagging:
Things       NOUN      
can          AUX       
move         VERB      
a            DET       
little       ADJ       
slowly       ADV       
.            PUNCT     
Not          PART      
the          DET       
place        NOUN      
to           PART      
be           AUX       
if           SCONJ     
you          PRON      
are          AUX       
looking      VERB      
for          ADP       
state        NOUN      
of           ADP       
the          DET       
art          NOUN      
tech         NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
old          ADJ       
people       NOUN      
,            PUNCT     
fat          ADJ       
people       NOUN      
and          CCONJ     
dumb         ADJ       
people       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Dynamics     NOUN      
,            PUNCT     
complex      ADJ       
structure    NOUN      
,            PUNCT     
lack         NOUN      
of           ADP       
elasticity   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Slow         ADJ       
pace         NOUN      

            SPACE     
Many         ADJ       
processes    NOUN      

            SPACE     
Old          PROPN     
tech         NOUN      
stack        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
usual        ADJ       
cons         NOUN      
that         PRON      
come         VERB      
with         ADP       
working      VERB      
for          ADP       
a            DET       
big          ADJ       
corporate    ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
Had          VERB      
to           PART      
work         VERB      
for          ADP       
a            DET       
night        NOUN      
shift        NOUN      
unfortunately ADV       

Named Entity Recognition:
night             TIME

--------------------------------------------------

Tokenization and POS Tagging:
Poltitically PROPN     
games        NOUN      
playing      VERB      
people       NOUN      
stay         VERB      
and          CCONJ     
good         ADJ       
people       NOUN      
leave        VERB      

            SPACE     
no           DET       
difference   NOUN      
in           ADP       
salary       NOUN      
for          ADP       
10           NUM       
year         NOUN      
and          CCONJ     
2            NUM       
years        NOUN      
experienced  VERB      

Named Entity Recognition:
10 year           DATE
2 years           DATE

--------------------------------------------------

Tokenization and POS Tagging:
Really       ADV       
bad          ADJ       
IT           NOUN      
infrastructure NOUN      
.            PUNCT     
Loyalty      NOUN      
is           AUX       
valued       VERB      
more         ADJ       
than         ADP       
actual       ADJ       
skills       NOUN      
so           SCONJ     
there        PRON      
’s           VERB      
a            DET       
lot          NOUN      
of           ADP       
unskilled    ADJ       
people       NOUN      
in           ADP       
higher       ADJ       
positions    NOUN      
.            PUNCT     
This         PRON      
results      VERB      
to           ADP       
good         ADJ       
and          CCONJ     
capable      ADJ       
people       NOUN      
leaving      VERB      
the          DET       
company      NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
frankfurt    PROPN     
is           AUX       
too          ADV       
big          ADJ       
to           PART      
live         VERB      
in           ADP       
.            PUNCT     
keep         VERB      
working      VERB      
life         NOUN      
balance      NOUN      
.            PUNCT     
need         VERB      
to           PART      
hard         ADJ       
to           PART      
suvirvework  VERB      
.            PUNCT     
missing      VERB      
the          DET       
green        ADJ       
world        NOUN      
in           ADP       
south        PROPN     
germany      PROPN     

Named Entity Recognition:
frankfurt         GPE
south germany     GPE

--------------------------------------------------

Tokenization and POS Tagging:
big          ADJ       
firm         NOUN      
,            PUNCT     
sometimes    ADV       
processes    NOUN      
are          AUX       
slow         ADJ       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
*            PUNCT     
Lower        ADJ       
pay          NOUN      
compared     VERB      
to           ADP       
other        ADJ       
locations    NOUN      

            SPACE     
*            PUNCT     
Less         ADJ       
career       NOUN      
opportunities NOUN      
compared     VERB      
to           ADP       
other        ADJ       
locations    NOUN      

--------------------------------------------------

# Load the pre-trained spaCy model
nlp = spacy.load('en_core_web_md')

def process_text_with_spacy(text):
    # Process the text with spaCy
    doc = nlp(text)
    # Tokenization and POS tagging
    print("Tokenization and POS Tagging:")
    for token in doc:
        print(f"{token.text:{12}} {token.pos_:{10}}")
    # Checking if there are named entities before printing
    if doc.ents:
        print("\nNamed Entity Recognition:")
        for ent in doc.ents:
            print(f"{ent.text:{17}} {ent.label_}")
    print("\n" + "-"*50 + "\n")

# Applying the function to the first 5 'Pros' entries
print("Processing 'Pros':")
for n26_pros_text in n26['Pros']:
    process_text_with_spacy(n26_pros_text)

# Applying the function to the first 5 'Cons' entries
print("Processing 'Cons':")
for n26_cons_text in n26['Cons']:
    process_text_with_spacy(n26_cons_text)

Processing 'Pros':
Tokenization and POS Tagging:
Good         ADJ       
teams        NOUN      
and          CCONJ     
setups       NOUN      
,            PUNCT     
solid        ADJ       
Ways         PROPN     
of           ADP       
working      VERB      

Named Entity Recognition:
Ways of working   ORG

--------------------------------------------------

Tokenization and POS Tagging:
Work         NOUN      
environment  NOUN      
relaxed      VERB      
,            PUNCT     
even         ADV       
better       ADV       
after        SCONJ     
the          DET       
works        PROPN     
council      PROPN     
was          AUX       
entered      VERB      
(            PUNCT     
not          PART      
without      ADP       
some         DET       
tricky       ADJ       
avoidance    NOUN      
from         ADP       
top          ADJ       
managers     NOUN      
)            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
teams        NOUN      
have         VERB      
some         PRON      
of           ADP       
the          DET       
nicest       ADJ       
and          CCONJ     
hard         ADJ       
working      VERB      
people       NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Diverse      ADJ       
work         NOUN      
,            PUNCT     
lot          NOUN      
's           PART      
of           ADP       
in           ADP       
-            PUNCT     
house        NOUN      
talent       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Wonderful    ADJ       
people       NOUN      
to           PART      
work         VERB      
with         ADP       
and          CCONJ     
state        NOUN      
of           ADP       
the          DET       
art          NOUN      
tech         NOUN      
stack        NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
place        NOUN      
to           PART      
work         VERB      
in           ADP       
general      ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
the          DET       
company      NOUN      
still        ADV       
is           AUX       
quite        ADV       
interesting  ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
people       NOUN      
.            PUNCT     
Fun          NOUN      
product      NOUN      
.            PUNCT     
Learnt       VERB      
so           ADV       
much         ADV       

--------------------------------------------------

Tokenization and POS Tagging:
good         ADJ       
vibes        NOUN      

            SPACE     
good         ADJ       
peoples      NOUN      

            SPACE     
nice         ADJ       
office       NOUN      
in           ADP       
the          DET       
center       NOUN      
of           ADP       
berlin       PROPN     

            SPACE     
work         NOUN      
from         ADP       
home         NOUN      

Named Entity Recognition:
berlin            GPE

--------------------------------------------------

Tokenization and POS Tagging:
Full         ADJ       
Remote       PROPN     
work         NOUN      
.            PUNCT     
The          DET       
product      NOUN      
analytics    NOUN      
team         NOUN      
is           AUX       
a            DET       
nice         ADJ       
and          CCONJ     
supportive   ADJ       
team         NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
-Company     NOUN      
is           AUX       
fairly       ADV       
diverse      ADJ       
which        PRON      
is           AUX       
really       ADV       
interesting  ADJ       
.            PUNCT     
Lots         NOUN      
of           ADP       
professionals NOUN      
from         ADP       
different    ADJ       
countries    NOUN      

            SPACE     
-Hybrid      PROPN     
work         NOUN      
environment  NOUN      

            SPACE     
-Personal    PROPN     
Development  PROPN     
Budget       PROPN     
(            PUNCT     
you          PRON      
can          AUX       
use          VERB      
it           PRON      
for          ADP       
courses      NOUN      
,            PUNCT     
bootcamps    NOUN      
etc          X         
)            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
flexible     ADJ       
working      NOUN      
conditions   NOUN      
and          CCONJ     
relatively   ADV       
fair         ADJ       
salary       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
competitive  ADJ       
salary       NOUN      

            SPACE     
-            PUNCT     
autonomy     NOUN      
and          CCONJ     
flexibility  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Good         ADJ       
growing      VERB      
opportunities NOUN      

            SPACE     
-            PUNCT     
Good         ADJ       
starting     VERB      
salary       NOUN      

            SPACE     
-            PUNCT     
Good         ADJ       
team         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
experience   NOUN      
gainnig      ADJ       
,            PUNCT     
one          NUM       
weekly       ADJ       
lunch        NOUN      
and          CCONJ     
a            DET       
pizza        NOUN      
Friday       PROPN     

Named Entity Recognition:
gainnig           PERSON
one               CARDINAL
weekly            DATE
Friday            DATE

--------------------------------------------------

Tokenization and POS Tagging:
N26          PROPN     
provides     VERB      
atmosphere   NOUN      
if           SCONJ     
you          PRON      
willing      ADJ       
to           PART      
grow         VERB      
,            PUNCT     
there        PRON      
's           VERB      
a            DET       
lot          NOUN      
of           ADP       
improvements NOUN      
to           PART      
be           AUX       
done         VERB      
and          CCONJ     
team         NOUN      
is           AUX       
very         ADV       
welcome      ADJ       
for          ADP       
change       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Very         ADV       
nice         ADJ       
atmospheres  NOUN      
and          CCONJ     
opportunities NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
exposed      VERB      
to           ADP       
a            DET       
bank         NOUN      
in           ADP       
a            DET       
fast         ADJ       
moving       VERB      
environment  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
proper       ADJ       
pay          NOUN      
(            PUNCT     
as           ADP       
for          ADP       
2022         NUM       
)            PUNCT     

            SPACE     
-            PUNCT     
benefits     NOUN      

            SPACE     
-            PUNCT     
corporate    ADJ       
culture      NOUN      
and          CCONJ     
branding     NOUN      

            SPACE     
-            PUNCT     
team         NOUN      

Named Entity Recognition:
2022              DATE

--------------------------------------------------

Tokenization and POS Tagging:
Most         ADJ       
teams        NOUN      
in           ADP       
Platform     PROPN     
Engineering  PROPN     
segment      NOUN      
were         AUX       
full         ADJ       
of           ADP       
really       ADV       
good         ADJ       
people       NOUN      
,            PUNCT     
and          CCONJ     
managers     NOUN      
within       ADP       
the          DET       
segment      NOUN      
were         AUX       
competent    ADJ       
and          CCONJ     
empathetic   ADJ       
.            PUNCT     


           SPACE     
Work         NOUN      
was          AUX       
usually      ADV       
interesting  ADJ       
and          CCONJ     
there        PRON      
were         VERB      
opportunities NOUN      
to           PART      
explore      VERB      
and          CCONJ     
adopt        VERB      
new          ADJ       
technologies NOUN      
.            PUNCT     


           SPACE     
German       ADJ       
employees    NOUN      
have         VERB      
an           DET       
active       ADJ       
Works        PROPN     
Council      PROPN     
that         PRON      
strives      VERB      
to           PART      
improve      VERB      
working      VERB      
conditions   NOUN      
for          ADP       
employees    NOUN      
and          CCONJ     
make         VERB      
the          DET       
company      NOUN      
more         ADV       
successful   ADJ       
.            PUNCT     
Planned      VERB      
conversion   NOUN      
from         ADP       
AG           PROPN     
to           ADP       
SE           PROPN     
(            PUNCT     
Societas     PROPN     
Europas      PROPN     
)            PUNCT     
will         AUX       
provide      VERB      
similar      ADJ       
representation NOUN      
for          ADP       
employees    NOUN      
in           ADP       
Spain        PROPN     
and          CCONJ     
other        ADJ       
EU           PROPN     
countries    NOUN      
.            PUNCT     
This         PRON      
is           AUX       
unusual      ADJ       
for          ADP       
a            DET       
tech         NOUN      
company      NOUN      
,            PUNCT     
but          CCONJ     
IMO          ADV       
a            DET       
good         ADJ       
thing        NOUN      
for          ADP       
N26          PROPN     
and          CCONJ     
its          PRON      
employees    NOUN      
.            PUNCT     

Named Entity Recognition:
Platform Engineering ORG
German            NORP
Works Council     ORG
AG                ORG
SE                ORG
Spain             GPE
EU                ORG

--------------------------------------------------

Tokenization and POS Tagging:
long         ADJ       
hours        NOUN      
but          CCONJ     
worth        ADJ       
it           PRON      

Named Entity Recognition:
long hours        TIME

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
life         NOUN      
work         NOUN      
balance      NOUN      
.            PUNCT     
Modern       ADJ       
management   NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
I            PRON      
was          AUX       
able         ADJ       
to           PART      
apply        VERB      
myself       PRON      
to           ADP       
problems     NOUN      
that         PRON      
I            PRON      
cared        VERB      
about        ADP       
,            PUNCT     
learn        VERB      
a            DET       
lot          NOUN      
,            PUNCT     
and          CCONJ     
got          VERB      
to           PART      
enjoy        VERB      
delivering   VERB      
on           ADP       
some         DET       
good         ADJ       
challenges   NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
work         NOUN      
culture      NOUN      

            SPACE     
Extremely    ADV       
focused      VERB      
leadership   NOUN      
across       ADP       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Provides     VERB      
you          PRON      
with         ADP       
a            DET       
great        ADJ       
network      NOUN      
,            PUNCT     
but          CCONJ     
it           PRON      
's           AUX       
a            DET       
high         ADJ       
stress       NOUN      
environment  NOUN      
with         ADP       
many         ADJ       
manual       ADJ       
processes    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
When         SCONJ     
I            PRON      
was          AUX       
working      VERB      
at           ADP       
N26          PROPN     
,            PUNCT     
I            PRON      
was          AUX       
honored      VERB      
to           PART      
be           AUX       
offered      VERB      
as           ADP       
many         ADJ       
opportunities NOUN      
as           SCONJ     
I            PRON      
did          AUX       
given        VERB      
I            PRON      
did          AUX       
n't          PART      
have         VERB      
a            DET       
great        ADJ       
CV           NOUN      
or           CCONJ     
university   NOUN      
degree       NOUN      
prior        ADV       
to           ADP       
working      VERB      
at           ADP       
N26          PROPN     
.            PUNCT     

            SPACE     
Leaders      NOUN      
were         AUX       
always       ADV       
open         ADJ       
to           PART      
give         VERB      
me           PRON      
a            DET       
shot         NOUN      
and          CCONJ     
see          VERB      
how          SCONJ     
I            PRON      
do           VERB      
,            PUNCT     
if           SCONJ     
I            PRON      
was          AUX       
willing      ADJ       
and          CCONJ     
interested   ADJ       
in           ADP       
progressing  VERB      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
High         ADJ       
likelihood   NOUN      
to           PART      
find         VERB      
likeminded   ADJ       
people       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
product      NOUN      
stands       VERB      
out          ADP       
as           ADV       
exceptional  ADJ       
and          CCONJ     
easily       ADV       
accessible   ADJ       
.            PUNCT     
Within       ADP       
the          DET       
team         NOUN      
,            PUNCT     
there        PRON      
are          VERB      
competent    ADJ       
individuals  NOUN      
among        ADP       
both         DET       
direct       ADJ       
team         NOUN      
members      NOUN      
and          CCONJ     
stakeholders NOUN      
,            PUNCT     
fostering    VERB      
opportunities NOUN      
to           PART      
build        VERB      
connections  NOUN      
beyond       ADP       
the          DET       
confines     NOUN      
of           ADP       
professional ADJ       
relationships NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
modern       ADJ       
start        VERB      
up           ADP       
environment  NOUN      
in           ADP       
financial    ADJ       
services     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Corporate    ADJ       
benefits     NOUN      
(            PUNCT     
development  NOUN      
budget       NOUN      
,            PUNCT     
public       ADJ       
transport    NOUN      
ticket       NOUN      
,            PUNCT     
home         NOUN      
office       NOUN      
budget       NOUN      
)            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Flat         ADJ       
hierarchy    NOUN      
.            PUNCT     
Easy         ADJ       
to           PART      
approche     VERB      
the          DET       
management   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Work         NOUN      
life         NOUN      
balance      NOUN      
-            PUNCT     
flexibility  NOUN      
-            PUNCT     
good         ADJ       
benefits     NOUN      
-            PUNCT     
great        ADJ       
work         NOUN      
environment  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Some         DET       
great        ADJ       
team         NOUN      
members      NOUN      
to           PART      
work         VERB      
with         ADP       

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
people       NOUN      
Growth       PROPN     
opportunities NOUN      
Nice         PROPN     
offices      NOUN      
Opportunity  NOUN      
for          ADP       
change       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
the          DET       
pay          NOUN      
is           AUX       
quite        ADV       
alright      ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
I            PRON      
've          AUX       
been         AUX       
working      VERB      
at           ADP       
N26          PROPN     
for          ADP       
2            NUM       
years        NOUN      
and          CCONJ     
had          VERB      
all          DET       
the          DET       
support      NOUN      
I            PRON      
needed       VERB      
to           PART      
grow         VERB      
.            PUNCT     
I            PRON      
am           AUX       
doing        VERB      
an           DET       
internal     ADJ       
change       NOUN      
to           ADP       
another      DET       
team         NOUN      
to           PART      
keep         VERB      
on           ADP       
learning     VERB      
and          CCONJ     
keep         VERB      
on           ADP       
developing   VERB      
my           PRON      
career       NOUN      
.            PUNCT     
I            PRON      
like         VERB      
that         SCONJ     
I            PRON      
can          AUX       
have         VERB      
a            DET       
lot          NOUN      
of           ADP       
impact       NOUN      
at           ADP       
N26          PROPN     
and          CCONJ     
always       ADV       
keep         VERB      
on           ADP       
improving    VERB      
things       NOUN      
:)           PUNCT     

Named Entity Recognition:
2 years           DATE

--------------------------------------------------

Tokenization and POS Tagging:
Base         ADJ       
salary       NOUN      
Remote       NOUN      
policy       NOUN      
Flexibility  NOUN      
Autonomy     PROPN     

--------------------------------------------------

Tokenization and POS Tagging:
Nice         ADJ       
perks        NOUN      
,            PUNCT     
Great        ADJ       
offices      NOUN      
and          CCONJ     
very         ADV       
nice         ADJ       
team         NOUN      
mates        NOUN      
.            PUNCT     
Looking      VERB      
for          ADP       
some         DET       
positive     ADJ       
trend        NOUN      
ahead        ADV       
,            PUNCT     
at           ADP       
the          DET       
end          NOUN      
N26          PROPN     
app          NOUN      
is           AUX       
one          NUM       
of           ADP       
the          DET       
best         ADJ       
in           ADP       
fintech      NOUN      
space        NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Some         DET       
people       NOUN      
were         AUX       
cool         ADJ       
but          CCONJ     
most         ADJ       
of           ADP       
them         PRON      
already      ADV       
got          AUX       
laid         VERB      
off          ADP       
,            PUNCT     
the          DET       
company      NOUN      
name         NOUN      
is           AUX       
still        ADV       
good         ADJ       
in           ADP       
your         PRON      
CV           NOUN      
but          CCONJ     
it           PRON      
’s           VERB      
a            DET       
place        NOUN      
to           PART      
stay         VERB      
for          ADP       
a            DET       
bit          NOUN      
and          CCONJ     
then         ADV       
leave        VERB      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
learning     NOUN      
curve        NOUN      
,            PUNCT     
good         ADJ       
talent       NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Amazing      ADJ       
mix          NOUN      
of           ADP       
people       NOUN      
Great        ADJ       
office       NOUN      
Great        ADJ       
spirit       NOUN      
Highly       ADV       
ambitious    ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
enviroment   NOUN      
,            PUNCT     
possibilities NOUN      
to           PART      
grow         VERB      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Flexibility  NOUN      
-            PUNCT     
Environment  PROPN     
-            PUNCT     
Team         PROPN     
spirit       NOUN      
-            PUNCT     
Workload     PROPN     
-            PUNCT     
Events       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
work         NOUN      
environment  NOUN      
,            PUNCT     
nice         ADJ       
people       NOUN      
,            PUNCT     
Great        ADJ       
flexibility  NOUN      
at           ADP       
work         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
1            X         
.            PUNCT     
Good         ADJ       
work         NOUN      
culture      NOUN      
and          CCONJ     
very         ADV       
helpful      ADJ       
set          NOUN      
of           ADP       
engineers    NOUN      
and          CCONJ     
leaders      NOUN      
2            X         
.            PUNCT     
Reasonable   ADJ       
employee     NOUN      
benefits     VERB      
3            NUM       
.            PUNCT     
Streamlined  ADJ       
process      NOUN      
in           ADP       
running      VERB      
the          DET       
project      NOUN      
4            NUM       
.            PUNCT     
Open         ADJ       
feedback     NOUN      
systems      NOUN      

Named Entity Recognition:
1                 CARDINAL
2                 CARDINAL
3                 CARDINAL
4                 CARDINAL

--------------------------------------------------

Tokenization and POS Tagging:
Flexible     ADJ       
young        ADJ       
environment  NOUN      
,            PUNCT     
inclusive    ADJ       
and          CCONJ     
international ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
Flat         ADJ       
hierarchy    NOUN      
,            PUNCT     
steep        ADJ       
learning     NOUN      
curve        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
WFM          NOUN      
-            PUNCT     
Dynamic      ADJ       
environment  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Amazing      ADJ       
people       NOUN      
to           PART      
work         VERB      
with         ADP       
and          CCONJ     
diverse      ADJ       
colleagues   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
product      NOUN      
is           AUX       
nice         ADJ       
and          CCONJ     
some         PRON      
of           ADP       
benefits     NOUN      
,            PUNCT     
eg           PROPN     
BVG          PROPN     
ticket       NOUN      
,            PUNCT     
Germna       PROPN     
classes      NOUN      
were         AUX       
super        ADV       
good         ADJ       
.            PUNCT     

Named Entity Recognition:
BVG               ORG

--------------------------------------------------

Tokenization and POS Tagging:
A            DET       
lot          NOUN      
of           ADP       
processes    NOUN      
to           PART      
learn        VERB      
from         ADP       

--------------------------------------------------

Tokenization and POS Tagging:
Young        PROPN     
Environment  PROPN     
,            PUNCT     
Perfect      PROPN     
Work         PROPN     
-            PUNCT     
Life         NOUN      
Balance      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Remote       ADJ       
work         NOUN      
,            PUNCT     
very         ADV       
warm         ADJ       
product      NOUN      
and          CCONJ     
tech         NOUN      
community    NOUN      
,            PUNCT     
good         ADJ       
work         NOUN      
/            SYM       
life         NOUN      
balance      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
onboarding   NOUN      
process      NOUN      
was          AUX       
very         ADV       
smooth       ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
Overall      ADJ       
great        ADJ       
experience   NOUN      
working      VERB      
at           ADP       
N26          PROPN     
.            PUNCT     
Friendly     ADJ       
atmosphere   NOUN      
most         ADJ       
of           ADP       
the          DET       
time         NOUN      
.            PUNCT     
Flexible     ADJ       
working      NOUN      
hours        NOUN      
.            PUNCT     
Personal     ADJ       
development  NOUN      
budget       NOUN      
.            PUNCT     
Culture      NOUN      
of           ADP       
helping      VERB      
each         DET       
other        ADJ       
within       ADP       
the          DET       
team         NOUN      
.            PUNCT     
Great        ADJ       
compensation NOUN      
package      NOUN      
.            PUNCT     

Named Entity Recognition:
Flexible working hours TIME

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
place        NOUN      
to           PART      
start        VERB      
your         PRON      
career       NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
team         NOUN      
leaders      NOUN      
and          CCONJ     
management   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
culture      NOUN      
,            PUNCT     
people       NOUN      
is           AUX       
extremely    ADV       
nice         ADJ       
and          CCONJ     
helpful      ADJ       
.            PUNCT     
Great        ADJ       
place        NOUN      
to           PART      
learn        VERB      
and          CCONJ     
grow         VERB      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Product      NOUN      
and          CCONJ     
industry     NOUN      
have         VERB      
many         ADJ       
untapped     ADJ       
problem      NOUN      
space        NOUN      
to           PART      
deliver      VERB      
substantial  ADJ       
impact       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Working      PROPN     
Culture      PROPN     
within       ADP       
Teams        PROPN     
is           AUX       
amazing      ADJ       

Named Entity Recognition:
Working Culture within Teams ORG

--------------------------------------------------

Tokenization and POS Tagging:
Love         VERB      
the          DET       
opportunities NOUN      
we           PRON      
are          AUX       
getting      VERB      
.            PUNCT     
Interesting  ADJ       
problems     NOUN      
to           PART      
solve        VERB      
and          CCONJ     
great        ADJ       
colleagues   NOUN      

Named Entity Recognition:
Love              WORK_OF_ART

--------------------------------------------------

Tokenization and POS Tagging:
Working      NOUN      
environment  NOUN      
,            PUNCT     
leadership   NOUN      
,            PUNCT     
interesting  ADJ       
work         NOUN      
,            PUNCT     
decent       ADJ       
bens         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Extremely    ADV       
talented     ADJ       
professionals NOUN      
across       ADP       
the          DET       
company      NOUN      
-            PUNCT     
High         ADJ       
quality      NOUN      
software     NOUN      
and          CCONJ     
principles   NOUN      
-            PUNCT     
Nice         ADJ       
benefits     NOUN      
,            PUNCT     
but          CCONJ     
there        PRON      
's           VERB      
also         ADV       
room         NOUN      
for          ADP       
improvement  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Company      NOUN      
dynamics     NOUN      
,            PUNCT     
community    NOUN      
,            PUNCT     
and          CCONJ     
perks        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Nothing      PRON      
really       ADV       
in           ADP       
comparison   NOUN      
to           ADP       
other        ADJ       
places       NOUN      
.            PUNCT     
normal       ADJ       
salary       NOUN      
normal       ADJ       
benefits     NOUN      
.            PUNCT     
just         ADV       
a            DET       
place        NOUN      
to           PART      
work         VERB      
for          ADP       
short        ADJ       
time         NOUN      
and          CCONJ     
jump         VERB      
to           ADP       
other        ADJ       
places       NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Fast         ADV       
-            PUNCT     
paced        VERB      
environment  NOUN      
with         ADP       
lots         NOUN      
of           ADP       
chances      NOUN      
to           PART      
make         VERB      
a            DET       
real         ADJ       
impact       NOUN      
.            PUNCT     
The          DET       
people       NOUN      
are          AUX       
nice         ADJ       
,            PUNCT     
team         NOUN      
leads        VERB      
tend         VERB      
to           PART      
think        VERB      
too          ADV       
much         ADJ       
of           ADP       
themselves   PRON      
but          CCONJ     
the          DET       
average      ADJ       
folk         NOUN      
is           AUX       
fine         ADJ       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Stable       ADJ       
salary       NOUN      
Great        ADJ       
team         NOUN      
Name         NOUN      
Offer        PROPN     
relocation   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Not          PART      
much         ADJ       
pros         NOUN      
left         VERB      
there        ADV       
to           PART      
be           AUX       
honest       ADJ       
.            PUNCT     
I            PRON      
can          AUX       
not          PART      
think        VERB      
of           ADP       
anything     PRON      
.            PUNCT     
Maybe        ADV       
salary       NOUN      
is           AUX       
more         ADJ       
than         ADP       
average      ADJ       
but          CCONJ     
the          DET       
pressure     NOUN      
is           AUX       
so           ADV       
much         ADJ       
it           PRON      
does         AUX       
not          PART      
worth        VERB      
it           PRON      
.            PUNCT     
It           PRON      
's           AUX       
like         ADP       
living       VERB      
in           ADP       
a            DET       
high         ADJ       
paying       VERB      
3rd          ADJ       
world        NOUN      
country      NOUN      
.            PUNCT     
It           PRON      
's           AUX       
paying       VERB      
good         NOUN      
,            PUNCT     
but          CCONJ     
in           ADP       
a            DET       
dictatorship NOUN      
.            PUNCT     

Named Entity Recognition:
3rd               ORDINAL

--------------------------------------------------

Tokenization and POS Tagging:
Colleagues   NOUN      
,            PUNCT     
perks        NOUN      
,            PUNCT     
transport    NOUN      
card         NOUN      
,            PUNCT     
fruits       NOUN      
,            PUNCT     
laptop       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Some         DET       
very         ADV       
dedicated    ADJ       
,            PUNCT     
helpful      ADJ       
colleagues   NOUN      
.            PUNCT     

            SPACE     
Some         DET       
interesting  ADJ       
projects     NOUN      
and          CCONJ     
customer     NOUN      
focused      VERB      
initiatives  NOUN      
.            PUNCT     

            SPACE     
A            DET       
new          ADJ       
office       NOUN      
with         ADP       
hopefully    ADV       
working      VERB      
air          NOUN      
conditioning NOUN      
-            PUNCT     
a            DET       
potential    ADJ       
upgrade      NOUN      
from         ADP       
the          DET       
previous     ADJ       
"            PUNCT     
storage      NOUN      
space        NOUN      
"            PUNCT     
offices      NOUN      
.            PUNCT     

            SPACE     
Relatively   ADV       
ok           ADJ       
salary       NOUN      
compared     VERB      
to           ADP       
the          DET       
"            PUNCT     
IT           NOUN      
sector       NOUN      
"            PUNCT     
,            PUNCT     
but          CCONJ     
quite        ADV       
poor         ADJ       
when         SCONJ     
compared     VERB      
to           ADP       
the          DET       
financial    ADJ       
sector       NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Flexibility  NOUN      
and          CCONJ     
Remote       PROPN     
work         NOUN      
is           AUX       
great        ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
High         ADJ       
Pay          NOUN      
-            PUNCT     
Stress       NOUN      
free         ADJ       
environment  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
N26          PROPN     
is           AUX       
a            DET       
great        ADJ       
company      NOUN      
to           PART      
work         VERB      
for          ADP       
,            PUNCT     
especially   ADV       
as           ADP       
a            DET       
Sr           PROPN     
.            PROPN     
TDM          NOUN      
.            PUNCT     
The          DET       
environment  NOUN      
is           AUX       
positive     ADJ       
and          CCONJ     
supportive   ADJ       
,            PUNCT     
and          CCONJ     
management   NOUN      
truly        ADV       
empowers     VERB      
you          PRON      
to           PART      
take         VERB      
full         ADJ       
control      NOUN      
of           ADP       
the          DET       
product      NOUN      
or           CCONJ     
program      NOUN      
you          PRON      
're          AUX       
leading      VERB      
.            PUNCT     
This         DET       
level        NOUN      
of           ADP       
trust        NOUN      
is           AUX       
rare         ADJ       
in           ADP       
many         ADJ       
companies    NOUN      
,            PUNCT     
but          CCONJ     
at           ADP       
N26          PROPN     
it           PRON      
's           AUX       
the          DET       
norm         NOUN      
.            PUNCT     
Additionally ADV       
,            PUNCT     
management   NOUN      
is           AUX       
transparent  ADJ       
about        ADP       
how          SCONJ     
and          CCONJ     
why          SCONJ     
decisions    NOUN      
are          AUX       
made         VERB      
,            PUNCT     
which        PRON      
helps        VERB      
everyone     PRON      
feel         VERB      
like         SCONJ     
they         PRON      
're          AUX       
part         NOUN      
of           ADP       
the          DET       
process      NOUN      
.            PUNCT     
One          NUM       
of           ADP       
the          DET       
best         ADJ       
things       NOUN      
about        ADP       
working      VERB      
at           ADP       
N26          PROPN     
is           AUX       
the          DET       
open         ADJ       
environment  NOUN      
where        SCONJ     
everyone     PRON      
can          AUX       
share        VERB      
their        PRON      
opinions     NOUN      
and          CCONJ     
concerns     NOUN      
.            PUNCT     
As           ADP       
a            DET       
Sr           PROPN     
.            PROPN     
TDM          PROPN     
,            PUNCT     
I            PRON      
feel         VERB      
like         SCONJ     
my           PRON      
contributions NOUN      
are          AUX       
valued       VERB      
and          CCONJ     
directly     ADV       
contribute   VERB      
to           ADP       
N26          PROPN     
's           PART      
growth       NOUN      
.            PUNCT     
I            PRON      
highly       ADV       
recommend    VERB      
N26          PROPN     
as           ADP       
a            DET       
great        ADJ       
place        NOUN      
to           PART      
work         VERB      
,            PUNCT     
especially   ADV       
if           SCONJ     
you          PRON      
're          AUX       
passionate   ADJ       
about        ADP       
fintech      NOUN      
and          CCONJ     
want         VERB      
to           PART      
work         VERB      
in           ADP       
a            DET       
supportive   ADJ       
and          CCONJ     
transparent  ADJ       
environment  NOUN      
.            PUNCT     

Named Entity Recognition:
One               CARDINAL
N26               ORG

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
tech         NOUN      
,            PUNCT     
great        ADJ       
office       NOUN      
culture      NOUN      
(            PUNCT     
snacks       NOUN      
,            PUNCT     
various      ADJ       
subsidies    NOUN      
etc          ADJ       
)            PUNCT     
and          CCONJ     
the          DET       
people       NOUN      
,            PUNCT     
good         ADJ       
growth       NOUN      
opportunities NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
flat         ADJ       
hierarchy    NOUN      
(            PUNCT     
everyone     PRON      
has          AUX       
equal        ADJ       
voice        NOUN      
)            PUNCT     
-            PUNCT     
mutual       ADJ       
trust        NOUN      
-            PUNCT     
functional   ADJ       
work         NOUN      
council      NOUN      
-            PUNCT     
friendly     ADJ       
colleagues   NOUN      
-            PUNCT     
constant     ADJ       
learning     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
salaries     NOUN      
,            PUNCT     
modern       ADJ       
tools        NOUN      
and          CCONJ     
technologies NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Paycheck     NOUN      
punctual     NOUN      
at           ADP       
the          DET       
end          NOUN      
of           ADP       
the          DET       
month        NOUN      
-            PUNCT     
Good         ADJ       
office       NOUN      
facilities   NOUN      
-            PUNCT     
Successful   PROPN     
Product      NOUN      

Named Entity Recognition:
the end of the month - Good DATE

--------------------------------------------------

Tokenization and POS Tagging:
Growth       NOUN      
and          CCONJ     
hands        NOUN      
on           ADP       
mindset      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
place        NOUN      
to           PART      
work         VERB      
Friendly     ADJ       
people       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
cool         ADJ       
name         NOUN      
-            PUNCT     
great        ADJ       
people       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Nice         ADJ       
people       NOUN      
work         VERB      
there        ADV       
and          CCONJ     
free         ADJ       
lunch        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Very         ADV       
smart        ADJ       
individuals  NOUN      
.            PUNCT     
Full         ADJ       
filling      VERB      
environment  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Meaningful   ADJ       
Impact       PROPN     
on           ADP       
Projects     NOUN      
-            PUNCT     
Responsibilities NOUN      
out          ADP       
of           ADP       
scope        NOUN      
-            PUNCT     
Huge         ADJ       
exposure     NOUN      
-            PUNCT     
Great        ADJ       
team         NOUN      
bonding      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
company      NOUN      
and          CCONJ     
culture      NOUN      
.            PUNCT     
I            PRON      
get          AUX       
done         VERB      
attitude     NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
benefits     NOUN      
as           ADP       
remote       ADJ       
work         NOUN      
and          CCONJ     
bvg          PROPN     
subscription NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
work         NOUN      
-            PUNCT     
life         NOUN      
balance      NOUN      
.            PUNCT     
-            PUNCT     
good         ADJ       
team         NOUN      
-            PUNCT     
Diversity    PROPN     
and          CCONJ     
inclusion    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Work         VERB      
hard         ADV       
and          CCONJ     
it           PRON      
will         AUX       
not          PART      
go           VERB      
unnoticed    ADJ       
,            PUNCT     
a            DET       
learning     NOUN      
of           ADP       
really       ADV       
talented     ADJ       
people       NOUN      
to           PART      
learn        VERB      
from         ADP       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Had          VERB      
a            DET       
good         ADJ       
experience   NOUN      
there        ADV       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Early        ADJ       
team         NOUN      
was          AUX       
incredible   ADJ       
–            PUNCT     
             SPACE     
collaborative ADJ       
,            PUNCT     
hard         ADV       
-            PUNCT     
working      VERB      
,            PUNCT     
high         ADJ       
ownership    NOUN      
,            PUNCT     
compassionate ADJ       
.            PUNCT     
These        DET       
people       NOUN      
became       VERB      
an           DET       
invaluable   ADJ       
network      NOUN      
for          ADP       
life         NOUN      
-            PUNCT     
Very         ADV       
strong       ADJ       
growth       NOUN      
curve        NOUN      
-            PUNCT     
Opportunity  NOUN      
to           PART      
work         VERB      
on           ADP       
interesting  ADJ       
topics       NOUN      
with         ADP       
high         ADJ       
customer     NOUN      
impact       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Environment  NOUN      
is           AUX       
quite        ADV       
healthy      ADJ       
and          CCONJ     
nice         ADJ       
place        NOUN      
to           PART      
grow         VERB      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Ability      NOUN      
to           PART      
shape        VERB      
the          DET       
role         NOUN      
for          ADP       
yourself     PRON      

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
work         NOUN      
-            PUNCT     
life         NOUN      
balance      NOUN      
Well         INTJ      
structured   ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
teams        NOUN      
are          AUX       
great        ADJ       
and          CCONJ     
i            PRON      
love         VERB      
to           PART      
work         VERB      
here         ADV       
!            PUNCT     
Flexible     ADJ       
Workplace    PROPN     
and          CCONJ     
homeoffice   NOUN      
makes        VERB      
it           PRON      
an           DET       
amazing      ADJ       
place        NOUN      
to           PART      
work         VERB      

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
people       NOUN      
management   NOUN      
,            PUNCT     
some         DET       
evolutions   NOUN      
opportunities NOUN      
.            PUNCT     
Good         ADJ       
personal     ADJ       
development  NOUN      
budget       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
good         ADJ       
onboarding   NOUN      
and          CCONJ     
training     NOUN      
process      NOUN      
,            PUNCT     
nice         ADJ       
benefits     NOUN      
,            PUNCT     
flat         ADJ       
hierarchies  NOUN      
,            PUNCT     
nice         ADJ       
atmosphere   NOUN      
at           ADP       
work         NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Payrise      PROPN     
came         VERB      
after        ADP       
1            NUM       
year         NOUN      
Free         PROPN     
lunch        NOUN      
meal         NOUN      
once         ADV       
a            DET       
month        NOUN      
in           ADP       
-            PUNCT     
office       NOUN      
Flexible     ADJ       
with         ADP       
time         NOUN      
off          ADP       
for          ADP       
holiday      NOUN      
Great        PROPN     
Team         PROPN     
Leads        VERB      
Very         ADV       
good         ADJ       
with         ADP       
sickness     NOUN      
time         NOUN      
off          ADP       

Named Entity Recognition:
1 year            DATE
Great Team Leads Very EVENT

--------------------------------------------------

Tokenization and POS Tagging:
nice         ADJ       
work         NOUN      
environment  NOUN      
,            PUNCT     
nice         ADJ       
employees    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Nothing      PRON      
to           PART      
be           AUX       
mentioned    VERB      
at           ADV       
all          ADV       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
work         NOUN      
from         ADP       
home         NOUN      
,            PUNCT     
no           DET       
micromanaging NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Working      VERB      
for          ADP       
N26          PROPN     
as           ADP       
a            DET       
Working      PROPN     
Student      PROPN     
was          AUX       
a            DET       
very         ADV       
nice         ADJ       
experience   NOUN      
.            PUNCT     
Besides      SCONJ     
making       VERB      
it           PRON      
easy         ADJ       
to           PART      
study        VERB      
next         ADV       
to           ADP       
the          DET       
work         NOUN      
by           ADP       
facilitating VERB      
a            DET       
very         ADV       
positive     ADJ       
and          CCONJ     
open         ADJ       
atmosphere   NOUN      
,            PUNCT     
I            PRON      
have         AUX       
learned      VERB      
a            DET       
lot          NOUN      
of           ADP       
workplace    NOUN      
fundamentals NOUN      
from         ADP       
this         DET       
place        NOUN      
.            PUNCT     
One          PRON      
could        AUX       
always       ADV       
ask          VERB      
for          ADP       
support      NOUN      
,            PUNCT     
one          PRON      
would        AUX       
always       ADV       
get          VERB      
tasks        NOUN      
to           PART      
challenge    VERB      
oneself      PRON      
but          CCONJ     
was          AUX       
guided       VERB      
if           SCONJ     
needed       VERB      
to           PART      
.            PUNCT     
A            DET       
very         ADV       
good         ADJ       
workplace    NOUN      
for          ADP       
development  NOUN      
.            PUNCT     

Named Entity Recognition:
Working for N26   ORG
Working Student   ORG
One               CARDINAL

--------------------------------------------------

Tokenization and POS Tagging:
Work         NOUN      
life         NOUN      
balance      NOUN      
,            PUNCT     
Team         NOUN      
support      NOUN      
,            PUNCT     
work         NOUN      
environment  NOUN      
,            PUNCT     
Job          PROPN     
security     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
chance       NOUN      
to           PART      
develop      VERB      
within       ADP       
the          DET       
company      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
horizontal   ADJ       
hierarchy    NOUN      
many         ADJ       
tasks        NOUN      
for          ADP       
an           DET       
intern       NOUN      
learned      VERB      
a            DET       
lot          NOUN      
about        ADP       
AFC          PROPN     
AML          PROPN     
Topics       PROPN     

--------------------------------------------------

Tokenization and POS Tagging:
I            PRON      
feel         VERB      
my           PRON      
job          NOUN      
is           AUX       
really       ADV       
valued       VERB      
here         ADV       
and          CCONJ     
I            PRON      
could        AUX       
say          VERB      
that         SCONJ     
N26          PROPN     
's           PART      
employees    NOUN      
have         VERB      
voice        NOUN      
and          CCONJ     
are          AUX       
heard        VERB      
.            PUNCT     
All          DET       
the          DET       
guidelines   NOUN      
regarding    VERB      
promotions   NOUN      
are          AUX       
transparent  ADJ       
and          CCONJ     
clearly      ADV       
established  VERB      
so           ADV       
you          PRON      
know         VERB      
what         PRON      
to           PART      
do           VERB      
and          CCONJ     
what         PRON      
to           PART      
expect       VERB      
,            PUNCT     
different    ADJ       
from         ADP       
other        ADJ       
places       NOUN      
where        SCONJ     
no           DET       
one          NOUN      
gives        VERB      
any          DET       
hint         NOUN      
about        ADP       
growth       NOUN      
possibilities NOUN      
.            PUNCT     
There        PRON      
is           VERB      
also         ADV       
a            DET       
nice         ADJ       
thing        NOUN      
about        ADP       
collaboration NOUN      
,            PUNCT     
I            PRON      
was          AUX       
always       ADV       
helped       VERB      
by           ADP       
people       NOUN      
from         ADP       
other        ADJ       
departments  NOUN      
when         SCONJ     
I            PRON      
needed       VERB      
.            PUNCT     

Named Entity Recognition:
N26               ORG

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
work         NOUN      
/            SYM       
life         NOUN      
balance      NOUN      
,            PUNCT     
growth       NOUN      
opportunities NOUN      
,            PUNCT     
good         ADJ       
culture      NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Team         PROPN     
spirit       NOUN      

            SPACE     
Possibility  PROPN     
to           PART      
grow         VERB      

            SPACE     
Supportive   PROPN     
Management   PROPN     

            SPACE     
Location     PROPN     

            SPACE     
Employee     NOUN      
benefits     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Compensation NOUN      
,            PUNCT     
work         NOUN      
-            PUNCT     
life         NOUN      
balance      NOUN      
,            PUNCT     
and          CCONJ     
a            DET       
very         ADV       
friendly     ADJ       
environment  NOUN      
.            PUNCT     
There        PRON      
are          VERB      
great        ADJ       
professionals NOUN      
to           PART      
learn        VERB      
from         ADP       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Benefits     NOUN      
to           PART      
keep         VERB      
you          PRON      
entertained  ADJ       
-            PUNCT     
pizza        NOUN      
,            PUNCT     
snacks       NOUN      
,            PUNCT     
drinks       NOUN      
,            PUNCT     
parties      NOUN      
,            PUNCT     
bean         NOUN      
bags         NOUN      
etc          X         
.            PUNCT     
Young        ADJ       
workforce    NOUN      
,            PUNCT     
good         ADJ       
for          ADP       
connections  NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Great        PROPN     
Team         PROPN     

            SPACE     
Great        PROPN     
office       NOUN      

            SPACE     
Great        ADJ       
equipment    NOUN      
and          CCONJ     
benefits     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Culture      PROPN     
is           AUX       
pretty       ADV       
good         ADJ       

            SPACE     
-            PUNCT     
Work         PROPN     
Life         PROPN     
balance      NOUN      
is           AUX       
greatly      ADV       
maintained   VERB      

            SPACE     
-            PUNCT     
Stable       ADJ       
Company      PROPN     
with         ADP       
increasing   VERB      
growth       NOUN      
every        DET       
year         NOUN      

            SPACE     
-            PUNCT     
Almost       ADV       
the          DET       
latest       ADJ       
tech         NOUN      
stack        NOUN      
in           ADP       
the          DET       
market       NOUN      

            SPACE     
-            PUNCT     
Good         ADJ       
team         NOUN      
diversity    NOUN      
and          CCONJ     
your         PRON      
opinion      NOUN      
matters      VERB      
with         ADP       
the          DET       
product      NOUN      

Named Entity Recognition:
every year
- Almost DATE

--------------------------------------------------

Tokenization and POS Tagging:
1            X         
.            PUNCT     
Lots         NOUN      
of           ADP       
opportunity  NOUN      
for          ADP       
growth       NOUN      
,            PUNCT     
autonomy     NOUN      
,            PUNCT     
and          CCONJ     
ownership    NOUN      
.            PUNCT     
You          PRON      
can          AUX       
really       ADV       
take         VERB      
a            DET       
project      NOUN      
and          CCONJ     
drive        VERB      
it           PRON      
forward      ADV       
to           PART      
end          VERB      
,            PUNCT     
though       SCONJ     
it           PRON      
will         AUX       
take         VERB      
a            DET       
lot          NOUN      
of           ADP       
persistence  NOUN      
.            PUNCT     

            SPACE     
2            X         
.            PUNCT     
They         PRON      
stepped      VERB      
up           ADP       
their        PRON      
salary       NOUN      
bands        NOUN      
in           ADP       
the          DET       
last         ADJ       
year         NOUN      
or           CCONJ     
so           ADV       
making       VERB      
the          DET       
work         NOUN      
well         ADV       
work         VERB      
it           PRON      

            SPACE     
3            NUM       
.            PUNCT     
Never        ADV       
bored        VERB      
,            PUNCT     
there        PRON      
’s           VERB      
always       ADV       
something    PRON      
to           PART      
create       VERB      
,            PUNCT     
change       NOUN      
,            PUNCT     
or           CCONJ     
fix          VERB      
.            PUNCT     

            SPACE     
4            X         
.            PUNCT     
ELT          PROPN     
/            SYM       
c            PROPN     
level        NOUN      
team         NOUN      
is           AUX       
competent    ADJ       
and          CCONJ     
I            PRON      
do           AUX       
trust        VERB      
them         PRON      
and          CCONJ     
their        PRON      
vision       NOUN      

            SPACE     
5            NUM       
.            PUNCT     
The          DET       
majority     NOUN      
of           ADP       
my           PRON      
colleagues   NOUN      
are          AUX       
solid        ADJ       
people       NOUN      
who          PRON      
really       ADV       
want         VERB      
to           PART      
make         VERB      
things       NOUN      
better       ADJ       
and          CCONJ     
care         VERB      
about        ADP       
their        PRON      
jobs         NOUN      
.            PUNCT     

Named Entity Recognition:
1                 CARDINAL
2                 CARDINAL
the last year or so DATE
3                 CARDINAL
4                 CARDINAL
5                 CARDINAL

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Great        ADJ       
brand        NOUN      

            SPACE     
-            PUNCT     
Smart        ADJ       
people       NOUN      

            SPACE     
-            PUNCT     
Reasonable   ADJ       
salaries     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
I            PRON      
’ve          AUX       
been         AUX       
there        ADV       
for          ADP       
around       ADP       
2            NUM       
years        NOUN      
and          CCONJ     
I            PRON      
can          AUX       
say          VERB      
that         SCONJ     
they         PRON      
really       ADV       
care         VERB      
about        ADP       
the          DET       
people       NOUN      
.            PUNCT     
I            PRON      
’ve          AUX       
seen         VERB      
so           ADV       
many         ADJ       
initiates    NOUN      
around       ADP       
improving    VERB      
the          DET       
work         NOUN      
life         NOUN      
and          CCONJ     
how          SCONJ     
to           PART      
do           VERB      
better       ADV       
.            PUNCT     

Named Entity Recognition:
around 2 years    DATE

--------------------------------------------------

Tokenization and POS Tagging:
lovely       ADJ       
people       NOUN      
,            PUNCT     
benefits     NOUN      
could        AUX       
be           AUX       
stepped      VERB      
up           ADP       

--------------------------------------------------

Tokenization and POS Tagging:
People       NOUN      
are          AUX       
talented     ADJ       
and          CCONJ     
friendly     ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
+            CCONJ     
great        ADJ       
team         NOUN      

            SPACE     
+            SYM       
supportive   ADJ       
management   NOUN      

            SPACE     
+            SYM       
flexible     ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
Teams        NOUN      
and          CCONJ     
people       NOUN      
are          AUX       
awesome      ADJ       
,            PUNCT     
cool         ADJ       
product      NOUN      
,            PUNCT     
lots         NOUN      
of           ADP       
resources    NOUN      
to           PART      
do           VERB      
your         PRON      
job          NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
team         NOUN      
,            PUNCT     
people       NOUN      
help         VERB      
each         DET       
other        ADJ       
and          CCONJ     
all          DET       
team         NOUN      
members      NOUN      
are          AUX       
very         ADV       
responsive   ADJ       
.            PUNCT     
There        PRON      
is           VERB      
mutual       ADJ       
respect      NOUN      
and          CCONJ     
cooperation  NOUN      
.            PUNCT     
Events       NOUN      
and          CCONJ     
team         NOUN      
building     NOUN      
give         VERB      
employees    NOUN      
the          DET       
opportunity  NOUN      
to           PART      
get          VERB      
to           PART      
know         VERB      
each         DET       
other        ADJ       
better       ADV       
.            PUNCT     
Good         ADJ       
working      NOUN      
conditions   NOUN      
have         AUX       
been         AUX       
created      VERB      
for          ADP       
people       NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
culture      NOUN      
in           ADP       
the          DET       
product      NOUN      
team         NOUN      
is           AUX       
great        ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
good         ADJ       
benefits     NOUN      
on           ADP       
self         NOUN      
development  NOUN      

            SPACE     
possibilities NOUN      
for          ADP       
a            DET       
promotion    NOUN      

            SPACE     
supportive   ADJ       
teams        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Very         ADV       
multicultural ADJ       
environment  NOUN      
.            PUNCT     
Friendly     ADJ       
people       NOUN      
,            PUNCT     
a            DET       
typical      ADJ       
Berlin       PROPN     
startup      NOUN      
.            PUNCT     

Named Entity Recognition:
Berlin            GPE

--------------------------------------------------

Tokenization and POS Tagging:
1            X         
.            PUNCT     
Amazing      ADJ       
work         NOUN      
-            PUNCT     
life         NOUN      
balance      NOUN      

            SPACE     
2            NUM       
.            PUNCT     
Appreciate   VERB      
the          DET       
standard     NOUN      
of           ADP       
work         NOUN      
aimed        VERB      
despite      SCONJ     
how          SCONJ     
much         ADV       
we           PRON      
can          AUX       
achieve      VERB      

            SPACE     
3            NUM       
.            PUNCT     
Greate       ADJ       
people       NOUN      
,            PUNCT     
progressive  ADJ       
culture      NOUN      

            SPACE     
4            NUM       
.            PUNCT     
Great        ADJ       
learning     NOUN      
opportunities NOUN      
and          CCONJ     
support      VERB      

Named Entity Recognition:
1                 CARDINAL
2                 CARDINAL
3                 CARDINAL
4                 CARDINAL

--------------------------------------------------

Tokenization and POS Tagging:
Lots         NOUN      
of           ADP       
learning     NOUN      
,            PUNCT     
great        ADJ       
team         NOUN      
,            PUNCT     
bright       ADJ       
people       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
dynamic      ADJ       
,            PUNCT     
frenetic     ADJ       
good         ADJ       
salary       NOUN      
for          ADP       
all          DET       
the          DET       
positions    NOUN      
above        ADP       
the          DET       
cs           PROPN     
specialist   ADJ       
role         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Employee     NOUN      
friendly     ADJ       
overall      ADJ       
very         ADV       
good         ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
technology   NOUN      
,            PUNCT     
problems     NOUN      
to           PART      
solve        VERB      
.            PUNCT     
Initiatives  NOUN      
.            PUNCT     
Stable       ADJ       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Open         ADJ       
communication NOUN      
style        NOUN      
in           ADP       
that         SCONJ     
you          PRON      
feel         VERB      
like         SCONJ     
you          PRON      
can          AUX       
be           AUX       
yourself     PRON      
with         ADP       
colleagues   NOUN      

            SPACE     
Colleagues   NOUN      
are          AUX       
friendly     ADJ       
and          CCONJ     
helpful      ADJ       

            SPACE     
If           SCONJ     
you          PRON      
're          AUX       
solution     NOUN      
-            PUNCT     
oriented     VERB      
and          CCONJ     
driven       VERB      
,            PUNCT     
you          PRON      
can          AUX       
go           VERB      
a            DET       
long         ADJ       
way          NOUN      

            SPACE     
Market       NOUN      
average      ADJ       
compensation NOUN      
(            PUNCT     
after        ADP       
some         DET       
time         NOUN      
)            PUNCT     

            SPACE     
Flexible     ADJ       
work         NOUN      
situation    NOUN      
(            PUNCT     
after        ADP       
some         DET       
discussion   NOUN      
)            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Frist        ADJ       
weeks        NOUN      
are          AUX       
awesome      ADJ       
,            PUNCT     
a            DET       
lot          NOUN      
of           ADP       
welcoming    VERB      
people       NOUN      
and          CCONJ     
nice         ADJ       
environment  NOUN      
.            PUNCT     

Named Entity Recognition:
Frist weeks       DATE

--------------------------------------------------

Tokenization and POS Tagging:
great        ADJ       
team         NOUN      

            SPACE     
good         ADJ       
processes    NOUN      

            SPACE     
a            DET       
lot          NOUN      
of           ADP       
people       NOUN      
who          PRON      
are          AUX       
talented     ADJ       
and          CCONJ     
you          PRON      
can          AUX       
learn        VERB      
from         ADP       

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
work         NOUN      
/            SYM       
life         NOUN      
balance      NOUN      
.            PUNCT     
Nice         ADJ       
perks        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
flexible     ADJ       
hours        NOUN      
,            PUNCT     
location     NOUN      
,            PUNCT     
learning     VERB      
opportunities NOUN      
,            PUNCT     
good         ADJ       
salary       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
International ADJ       
staff        NOUN      
,            PUNCT     
opportunity  NOUN      
to           PART      
build        VERB      
great        ADJ       
relationships NOUN      
with         ADP       
many         ADJ       
different    ADJ       
people       NOUN      
.            PUNCT     
Employee     NOUN      
perks        NOUN      
like         ADP       
free         ADJ       
lunches      NOUN      
,            PUNCT     
free         ADJ       
food         NOUN      
on           ADP       
special      ADJ       
occasions    NOUN      
etc          X         
.            X         
Can          AUX       
grow         VERB      
a            DET       
lot          NOUN      
professionally ADV       
and          CCONJ     
get          VERB      
great        ADJ       
experience   NOUN      
if           SCONJ     
you          PRON      
are          AUX       
motivated    ADJ       
and          CCONJ     
self         NOUN      
sufficient   ADJ       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Happy        ADJ       
working      VERB      
here         ADV       
I            PRON      
guess        VERB      

--------------------------------------------------

Tokenization and POS Tagging:
Free         ADJ       
drinks       NOUN      
and          CCONJ     
that         PRON      
's           AUX       
all          PRON      

--------------------------------------------------

Tokenization and POS Tagging:
Many         ADJ       
benefits     NOUN      
like         ADP       
Wednesday    PROPN     
lunch        NOUN      
,            PUNCT     
Friday       PROPN     
beers        NOUN      
,            PUNCT     
discount     NOUN      
in           ADP       
public       ADJ       
transport    NOUN      
.            PUNCT     

Named Entity Recognition:
Wednesday         DATE
Friday            DATE

--------------------------------------------------

Tokenization and POS Tagging:
I            PRON      
really       ADV       
love         VERB      
the          DET       
culture      NOUN      
here         ADV       
.            PUNCT     
Of           ADV       
course       ADV       
,            PUNCT     
it           PRON      
always       ADV       
depends      VERB      
on           ADP       
the          DET       
team         NOUN      
,            PUNCT     
but          CCONJ     
I            PRON      
felt         VERB      
like         ADP       
home         NOUN      
since        SCONJ     
the          DET       
very         ADJ       
beginning    NOUN      
.            PUNCT     

            SPACE     
You          PRON      
have         VERB      
a            DET       
lot          NOUN      
of           ADP       
chances      NOUN      
to           PART      
grow         VERB      
and          CCONJ     
develop      VERB      
,            PUNCT     
take         VERB      
side         NOUN      
projects     NOUN      
and          CCONJ     
contribute   VERB      
to           ADP       
building     NOUN      
processes    NOUN      
.            PUNCT     

            SPACE     
It           PRON      
's           AUX       
a            DET       
very         ADV       
dynamic      ADJ       
and          CCONJ     
changing     VERB      
environment  NOUN      
,            PUNCT     
which        PRON      
can          AUX       
be           AUX       
challenging  ADJ       
,            PUNCT     
but          CCONJ     
at           ADP       
the          DET       
same         ADJ       
time         NOUN      
exciting     ADJ       
.            PUNCT     

            SPACE     
There        PRON      
are          VERB      
a            DET       
lot          NOUN      
of           ADP       
team         NOUN      
activities   NOUN      
and          CCONJ     
diversity    NOUN      
and          CCONJ     
inclusion    NOUN      
are          AUX       
not          PART      
just         ADV       
words        NOUN      
here         ADV       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Wonderful    ADJ       
experience   NOUN      
there        ADV       
,            PUNCT     
gained       VERB      
a            DET       
lot          NOUN      
of           ADP       
inputs       NOUN      
,            PUNCT     
met          VERB      
great        ADJ       
people       NOUN      
and          CCONJ     
got          AUX       
fairly       ADV       
paid         VERB      

--------------------------------------------------

Tokenization and POS Tagging:
N26          PROPN     
on           ADP       
CV           NOUN      
is           AUX       
good         ADJ       
for          ADP       
career       NOUN      
at           ADP       
the          DET       
moment       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Amazing      ADJ       
work         NOUN      
environment  NOUN      

            SPACE     
-            PUNCT     
Great        ADJ       
growth       NOUN      
opportunities NOUN      

            SPACE     
-            PUNCT     
Attentive    ADJ       
managers     NOUN      
who          PRON      
care         VERB      
about        ADP       
teams        NOUN      
and          CCONJ     
support      NOUN      

            SPACE     
-            PUNCT     
Infinite     PROPN     
learning     NOUN      
opportunities NOUN      

            SPACE     
-            PUNCT     
You          PRON      
can          AUX       
work         VERB      
in           ADP       
one          NUM       
team         NOUN      
and          CCONJ     
be           AUX       
able         ADJ       
to           PART      
expand       VERB      
knowledge    NOUN      
about        ADP       
other        ADJ       
teams        NOUN      
and          CCONJ     
they         PRON      
ways         NOUN      
of           ADP       
working      VERB      
as           ADV       
well         ADV       

            SPACE     
-            PUNCT     
Internal     ADJ       
moves        NOUN      
possibilities NOUN      

            SPACE     
-            PUNCT     
Everyone     PRON      
's           PART      
ideas        NOUN      
and          CCONJ     
opinion      NOUN      
are          AUX       
appreciated  VERB      
and          CCONJ     
can          AUX       
be           AUX       
implicated   VERB      

            SPACE     
-            PUNCT     
Freedom      PROPN     
for          ADP       
creativity   NOUN      

Named Entity Recognition:
one               CARDINAL

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
N26          PROPN     
is           AUX       
entering     VERB      
a            DET       
new          ADJ       
phase        NOUN      
of           ADP       
its          PRON      
development  NOUN      
,            PUNCT     
professionalising VERB      
itself       PRON      
in           ADP       
all          DET       
areas        NOUN      
and          CCONJ     
expanding    VERB      
its          PRON      
teams        NOUN      
with         ADP       
great        ADJ       
minds        NOUN      
coming       VERB      
from         ADP       
all          ADV       
over         ADP       
the          DET       
world        NOUN      
.            PUNCT     


           SPACE     
-            PUNCT     
N26          PROPN     
's           PART      
leadership   NOUN      
team         NOUN      
is           AUX       
stabilising  VERB      
after        ADP       
a            DET       
period       NOUN      
of           ADP       
high         ADJ       
turnover     NOUN      
and          CCONJ     
lots         NOUN      
of           ADP       
great        ADJ       
profiles     NOUN      
have         AUX       
been         AUX       
added        VERB      
to           ADP       
the          DET       
team         NOUN      
over         ADP       
the          DET       
past         ADJ       
months       NOUN      
which        PRON      
highly       ADV       
influences   VERB      
the          DET       
strategy     NOUN      
for          ADP       
the          DET       
company      NOUN      
and          CCONJ     
for          ADP       
the          DET       
people       NOUN      
.            PUNCT     


           SPACE     
-            PUNCT     
Very         ADV       
competitive  ADJ       
compensation NOUN      
&            CCONJ     
rewards      NOUN      
package      NOUN      
with         ADP       
tremendous   ADJ       
opportunities NOUN      
to           PART      
learn        VERB      
and          CCONJ     
grow         VERB      
.            PUNCT     


           SPACE     
-            PUNCT     
Offices      NOUN      
in           ADP       
the          DET       
heart        NOUN      
of           ADP       
Berlin       PROPN     
with         ADP       
lots         NOUN      
of           ADP       
additional   ADJ       
perks        NOUN      
and          CCONJ     
benefits     NOUN      
.            PUNCT     

Named Entity Recognition:
the past months   DATE
Berlin            GPE

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
culture      NOUN      

            SPACE     
-            PUNCT     
colleagues   NOUN      

            SPACE     
-            PUNCT     
leadership   NOUN      

            SPACE     
-            PUNCT     
benefits     NOUN      

            SPACE     
-            PUNCT     
career       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
benefits     NOUN      
and          CCONJ     
salary       NOUN      
provided     VERB      

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
people       NOUN      
to           PART      
work         VERB      
with         ADP       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Very         ADV       
nice         ADJ       
and          CCONJ     
talented     ADJ       
coworkers    NOUN      

            SPACE     
Nice         PROPN     
office       NOUN      

Named Entity Recognition:
Nice              GPE

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
High         ADJ       
degree       NOUN      
of           ADP       
autonomy     NOUN      

            SPACE     
-            PUNCT     
Steep        ADJ       
learning     NOUN      
curve        NOUN      

            SPACE     
-            PUNCT     
Good         ADJ       
team         NOUN      
culture      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
place        NOUN      
to           PART      
learn        VERB      
and          CCONJ     
develop      VERB      
,            PUNCT     
great        ADJ       
peers        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
company      NOUN      
offers       VERB      
a            DET       
clear        ADJ       
path         NOUN      
for          ADP       
career       NOUN      
growth       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Dynamic      ADJ       
work         NOUN      
environment  NOUN      

            SPACE     
good         ADJ       
location     NOUN      

            SPACE     
smart        ADJ       
people       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
working      VERB      
environment  NOUN      
,            PUNCT     
excellent    ADJ       
managers     NOUN      
and          CCONJ     
amazing      ADJ       
scope        NOUN      
of           ADP       
growth       NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
learning     NOUN      
job          NOUN      
position     NOUN      
:            PUNCT     

            SPACE     
-            PUNCT     
Good         ADJ       
engineering  NOUN      
culture      NOUN      
inherited    VERB      
from         ADP       
thoughtworks NOUN      

            SPACE     
-            PUNCT     
Talented     VERB      
leads        NOUN      
and          CCONJ     
seniors      NOUN      
to           PART      
look         VERB      
up           ADP       
to           ADP       

--------------------------------------------------

Tokenization and POS Tagging:
like         ADP       
every        DET       
other        ADJ       
startup      NOUN      
,            PUNCT     
good         ADJ       
atmosphere   NOUN      
between      ADP       
peers        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Flexible     ADJ       
work         NOUN      
hours        NOUN      
and          CCONJ     
Diverse      ADJ       
teams        NOUN      

Named Entity Recognition:
Flexible work hours TIME

--------------------------------------------------

Tokenization and POS Tagging:
opportunity  NOUN      
to           PART      
work         VERB      
every        DET       
day          NOUN      
and          CCONJ     
some         DET       
great        ADJ       
employees    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
People       NOUN      
,            PUNCT     
Groupwork    PROPN     
and          CCONJ     
projects     NOUN      
and          CCONJ     
environment  NOUN      

Named Entity Recognition:
People, Groupwork ORG

--------------------------------------------------

Tokenization and POS Tagging:
Many         ADJ       
advantages   NOUN      
that         PRON      
are          AUX       
constantly   ADV       
changing     VERB      
like         ADP       
a            DET       
budget       NOUN      
to           PART      
study        VERB      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
creative     ADJ       

            SPACE     
-            PUNCT     
challenging  VERB      

            SPACE     
-            PUNCT     
support      NOUN      
from         ADP       
all          DET       
teams        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
This         PRON      
is           AUX       
still        ADV       
a            DET       
startup      NOUN      
.            PUNCT     
A            DET       
successful   ADJ       
one          NOUN      
,            PUNCT     
in           ADP       
later        ADJ       
stages       NOUN      
of           ADP       
growth       NOUN      
(            PUNCT     
after        ADP       
hypergrowth  NOUN      
phase        NOUN      
)            PUNCT     
,            PUNCT     
on           ADP       
the          DET       
way          NOUN      
to           ADP       
IPO          PROPN     
.            PUNCT     
Requires     VERB      
real         ADV       
hard         ADJ       
work         NOUN      
and          CCONJ     
bigger       ADJ       
-            PUNCT     
scale        NOUN      
experience   NOUN      
.            PUNCT     
If           SCONJ     
you          PRON      
look         VERB      
for          ADP       
a            DET       
happy        ADJ       
20           NUM       
ppl          PROPN     
everyone     PRON      
-            PUNCT     
knows        VERB      
-            PUNCT     
everyone     PRON      
setup        NOUN      
this         PRON      
is           AUX       
not          PART      
for          ADP       
you          PRON      
.            PUNCT     
If           SCONJ     
you          PRON      
want         VERB      
to           PART      
learn        VERB      
how          SCONJ     
engineering  NOUN      
org          NOUN      
with         ADP       
300          NUM       
ppl          NOUN      
,            PUNCT     
tens         NOUN      
of           ADP       
microservices NOUN      
with         ADP       
modern       ADJ       
Ci           PROPN     
/            SYM       
CD           PROPN     
pipeline     NOUN      
work         NOUN      
while        SCONJ     
keeping      VERB      
compliance   NOUN      
,            PUNCT     
reliability  NOUN      
and          CCONJ     
automomy     NOUN      
in           ADP       
place        NOUN      
you          PRON      
should       AUX       
join         VERB      
.            PUNCT     
A            DET       
lot          NOUN      
to           PART      
learn        VERB      
(            PUNCT     
also         ADV       
some         DET       
bad          ADJ       
examples     NOUN      
:)           PUNCT     
.            PUNCT     
Great        ADJ       
engineers    NOUN      
and          CCONJ     
friends      NOUN      
.            PUNCT     

Named Entity Recognition:
hypergrowth       LANGUAGE
IPO               ORG
20                CARDINAL
300               CARDINAL
tens              CARDINAL
Ci                PERSON

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Fast         ADV       
-            PUNCT     
paced        VERB      

            SPACE     
-            PUNCT     
Ability      NOUN      
to           PART      
learn        VERB      
quickly      ADV       

            SPACE     
-            PUNCT     
Great        ADJ       
people       NOUN      

            SPACE     
-            PUNCT     
High         ADJ       
autonomy     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Very         ADV       
Innovative   ADJ       
place        NOUN      
to           PART      
work         VERB      

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
teammates    NOUN      
and          CCONJ     
very         ADV       
interesting  ADJ       
problem      NOUN      
space        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
*            PUNCT     
Great        ADJ       
product      NOUN      

            SPACE     
*            PUNCT     
Great        ADJ       
people       NOUN      
-            PUNCT     
co           NOUN      
-            NOUN      
workers      NOUN      

            SPACE     
*            PUNCT     
One          PRON      
can          AUX       
pick         VERB      
an           DET       
initiative   NOUN      
and          CCONJ     
take         VERB      
it           PRON      
from         ADP       
start        NOUN      
to           ADP       
finish       NOUN      
.            PUNCT     
Persistence  NOUN      
required     VERB      
but          CCONJ     
eventually   ADV       
I            PRON      
can          AUX       
make         VERB      
things       NOUN      
happen       VERB      
.            PUNCT     

            SPACE     
*            PUNCT     
Tech         NOUN      
side         NOUN      
of           ADP       
things       NOUN      
is           AUX       
modern       ADJ       
with         ADP       
strong       ADJ       
emphasis     NOUN      
on           ADP       
quality      NOUN      
,            PUNCT     
security     NOUN      

            SPACE     
*            PUNCT     
I            PRON      
also         ADV       
really       ADV       
like         ADP       
the          DET       
attention    NOUN      
to           ADP       
detail       NOUN      
in           ADP       
design       NOUN      
so           SCONJ     
we           PRON      
make         VERB      
a            DET       
product      NOUN      
with         ADP       
focus        NOUN      
on           ADP       
customer     NOUN      
use          NOUN      
cases        NOUN      

            SPACE     
*            PUNCT     
Compensation NOUN      
got          VERB      
much         ADV       
better       ADJ       
lately       ADV       

--------------------------------------------------

Tokenization and POS Tagging:
Environment  NOUN      
where        SCONJ     
to           PART      
have         VERB      
huge         ADJ       
growth       NOUN      
opportunities NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Product      NOUN      
is           AUX       
good         ADJ       

            SPACE     
Personal     ADJ       
dev          NOUN      
budget       NOUN      
(            PUNCT     
1500€/year   ADJ       
)            PUNCT     

            SPACE     
Benefits     NOUN      

            SPACE     
Startup      PROPN     
company      NOUN      
and          CCONJ     
easy         ADJ       
to           PART      
grow         VERB      
with         ADP       

Named Entity Recognition:
1500€/year        CARDINAL

--------------------------------------------------

Tokenization and POS Tagging:
Nice         ADJ       
coworkers    NOUN      
and          CCONJ     
decent       ADJ       
salaries     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
I            PRON      
really       ADV       
enjoyed      VERB      
working      VERB      
at           ADP       
N26          PROPN     
for          ADP       
my           PRON      
time         NOUN      
there        ADV       
.            PUNCT     
The          DET       
direct       ADJ       
team         NOUN      
is           AUX       
often        ADV       
great        ADJ       
,            PUNCT     
as           ADV       
well         ADV       
as           ADP       
the          DET       
direct       ADJ       
managers     NOUN      
,            PUNCT     
that         PRON      
are          AUX       
often        ADV       
very         ADV       
talented     ADJ       
and          CCONJ     
with         ADP       
a            DET       
lot          NOUN      
to           PART      
learn        VERB      
from         ADP       
.            PUNCT     

            SPACE     
Despite      SCONJ     
the          DET       
negative     ADJ       
sides        NOUN      
I            PRON      
would        AUX       
still        ADV       
recommend    VERB      
it           PRON      
as           ADP       
a            DET       
place        NOUN      
to           PART      
work         VERB      
,            PUNCT     
given        VERB      
that         SCONJ     
they         PRON      
fixed        VERB      
the          DET       
low          ADJ       
salaries     NOUN      
for          ADP       
the          DET       
design       NOUN      
positions    NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
on           ADP       
-            PUNCT     
market       NOUN      
salary       NOUN      
,            PUNCT     
free         ADJ       
lunch        NOUN      
once         SCONJ     
a            DET       
week         NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
fun          ADJ       
time         NOUN      
with         ADP       
smart        ADJ       
people       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
great        ADJ       
team         NOUN      
/            SYM       
colleagues   NOUN      

            SPACE     
start        VERB      
up           ADP       
environment  NOUN      

            SPACE     
lots         NOUN      
of           ADP       
career       NOUN      
opportunities NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Colleagues   NOUN      
and          CCONJ     
paid         VERB      
BVG          PROPN     
card         NOUN      
are          AUX       
the          DET       
best         ADJ       
thing        NOUN      
about        ADP       
N26          PROPN     
.            PUNCT     

Named Entity Recognition:
BVG               ORG

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
place        NOUN      
to           PART      
work         VERB      
with         ADP       
pwoplw       PROPN     

Named Entity Recognition:
pwoplw            ORG

--------------------------------------------------

Tokenization and POS Tagging:
Collaboration NOUN      
,            PUNCT     
People       PROPN     
,            PUNCT     
Perks        PROPN     
,            PUNCT     
Time         PROPN     
off          ADP       

Named Entity Recognition:
Time              ORG

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Talented     VERB      
,            PUNCT     
driven       VERB      
colleagues   NOUN      

            SPACE     
-            PUNCT     
super        ADV       
strong       ADJ       
brand        NOUN      
,            PUNCT     
good         ADJ       
product      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
company      NOUN      
to           PART      
work         VERB      
,            PUNCT     
nice         ADJ       
work         NOUN      
environment  NOUN      
,            PUNCT     
a            DET       
lot          NOUN      
of           ADP       
freedom      NOUN      
to           PART      
decide       VERB      
stuff        NOUN      
,            PUNCT     
GSDD         PROPN     
,            PUNCT     
strong       ADJ       
name         NOUN      
to           PART      
have         VERB      
in           ADP       
your         PRON      
CV           NOUN      
,            PUNCT     
etc          X         

Named Entity Recognition:
GSDD              ORG

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
colleagues   NOUN      
&            CCONJ     
location     NOUN      
of           ADP       
workplace    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
International ADJ       
colleagues   NOUN      
,            PUNCT     
big          ADJ       
player       NOUN      
in           ADP       
the          DET       
industry     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
very         ADV       
few          ADJ       
.            PUNCT     
the          DET       
only         ADJ       
thing        NOUN      
I            PRON      
can          AUX       
think        VERB      
of           ADP       
is           AUX       
-            PUNCT     
well         ADJ       
nothing      PRON      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Gives        VERB      
enough       ADJ       
decision     NOUN      
-            PUNCT     
making       VERB      
authority    NOUN      

            SPACE     
-            PUNCT     
Allows       NOUN      
to           PART      
be           AUX       
creative     ADJ       

            SPACE     
-            PUNCT     
Provides     VERB      
the          DET       
opportunity  NOUN      
to           PART      
learn        VERB      

            SPACE     
-            PUNCT     
Not          PART      
very         ADV       
political    ADJ       

            SPACE     
-            PUNCT     
Enjoyable    ADJ       
place        NOUN      
to           PART      
work         VERB      

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
employee     NOUN      
interaction  NOUN      
,            PUNCT     
not          PART      
so           ADV       
much         ADJ       
due          ADJ       
to           ADP       
Corona       PROPN     

Named Entity Recognition:
Corona            ORG

--------------------------------------------------

Tokenization and POS Tagging:
Good         ADJ       
tech         NOUN      
and          CCONJ     
use          NOUN      
to           PART      
have         VERB      
great        ADJ       
people       NOUN      
to           PART      
work         VERB      
with         ADP       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Have         AUX       
made         VERB      
some         DET       
great        ADJ       
friends      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
(            PUNCT     
from         ADP       
the          DET       
start        NOUN      
of           ADP       
my           PRON      
time         NOUN      
at           ADP       
N26          PROPN     
)            PUNCT     

            SPACE     
-            PUNCT     
Amazing      ADJ       
team         NOUN      
,            PUNCT     
some         PRON      
of           ADP       
the          DET       
smartest     ADJ       
and          CCONJ     
most         ADV       
motivated    ADJ       
people       NOUN      
I            PRON      
've          AUX       
ever         ADV       
worked       VERB      
with         ADP       

            SPACE     
-            PUNCT     
Tons         NOUN      
of           ADP       
opportunity  NOUN      
for          ADP       
growth       NOUN      
in           ADP       
your         PRON      
career       NOUN      

            SPACE     
-            PUNCT     
A            DET       
strong       ADJ       
brand        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
friends      NOUN      
in           ADP       
immediate    ADJ       
team         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Team         NOUN      
,            PUNCT     
flexible     ADJ       
working      NOUN      
environment  NOUN      
,            PUNCT     
making       VERB      
an           DET       
impact       NOUN      
(            PUNCT     
if           SCONJ     
you          PRON      
get          VERB      
cool         ADJ       
tasks        NOUN      
)            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Diverse      ADJ       
talents      NOUN      
from         ADP       
around       ADP       
the          DET       
world        NOUN      
,            PUNCT     
you          PRON      
can          AUX       
make         VERB      
a            DET       
difference   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Relocation   NOUN      
bonus        NOUN      
,            PUNCT     
visa         NOUN      
assistant    NOUN      
,            PUNCT     
international ADJ       
environment  NOUN      
and          CCONJ     
new          ADJ       
office       NOUN      
.            PUNCT     
Recently     ADV       
they         PRON      
gave         VERB      
us           PRON      
a            DET       
raise        NOUN      
but          CCONJ     
it           PRON      
's           AUX       
too          ADV       
late         ADJ       
since        SCONJ     
most         ADJ       
team         NOUN      
members      NOUN      
who          PRON      
were         AUX       
actually     ADV       
doing        VERB      
work         NOUN      
and          CCONJ     
care         VERB      
about        ADP       
delivery     NOUN      
quality      NOUN      
had          AUX       
all          PRON      
left         VERB      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Possibilities NOUN      
to           PART      
make         VERB      
a            DET       
difference   NOUN      
if           SCONJ     
you          PRON      
look         VERB      
for          ADP       
the          DET       
opportunities NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
dynamic      ADJ       
,            PUNCT     
busy         ADJ       
,            PUNCT     
responsibility NOUN      
,            PUNCT     
innovative   ADJ       
,            PUNCT     
people       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Amazing      ADJ       
talented     ADJ       
colleagues   NOUN      
,            PUNCT     
an           DET       
experience   NOUN      
in           ADP       
the          DET       
Finntech     PROPN     

            SPACE     
Money        NOUN      
at           ADP       
the          DET       
end          NOUN      
of           ADP       
the          DET       
month        NOUN      
to           PART      
eat          VERB      

            SPACE     
Free         ADJ       
drinks       NOUN      
?            PUNCT     

Named Entity Recognition:
the Finntech
Money ORG
the end of the month DATE

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
people       NOUN      
are          AUX       
so           ADV       
dynamic      ADJ       
,            PUNCT     
however      ADV       
a            DET       
lot          NOUN      
of           ADP       
people       NOUN      
have         AUX       
left         VERB      
recently     ADV       

--------------------------------------------------

Tokenization and POS Tagging:
Flexible     ADJ       
,            PUNCT     
young        ADJ       
,            PUNCT     
amazing      ADJ       
people       NOUN      
with         ADP       
different    ADJ       
backgrounds  NOUN      
,            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Nice         ADJ       
people       NOUN      

            SPACE     
Opportunity  PROPN     
to           PART      
learn        VERB      
new          ADJ       
skills       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Always       ADV       
wanted       VERB      
to           PART      
work         VERB      
for          ADP       
a            DET       
startup      NOUN      
bank         NOUN      
!            PUNCT     
!            PUNCT     
Maybe        ADV       
one          NUM       
day          NOUN      
others       NOUN      
will         AUX       
believe      VERB      
it           PRON      
too          ADV       
!            PUNCT     
!            PUNCT     
!            PUNCT     


           SPACE     
Throughout   ADP       
the          DET       
last         ADJ       
few          ADJ       
years        NOUN      
I            PRON      
witnessed    VERB      
exponential  ADJ       
hypergrowth  NOUN      
,            PUNCT     
in           ADP       
the          DET       
sense        NOUN      
of           ADP       
new          ADJ       
blood        NOUN      
coming       VERB      
into         ADP       
the          DET       
meat         NOUN      
grinder      NOUN      
and          CCONJ     
old          ADJ       
discarded    VERB      
.            PUNCT     
At           ADP       
a            DET       
very         ADV       
calculated   ADJ       
interval     NOUN      
of           ADP       
6            NUM       
-            SYM       
12           NUM       
months       NOUN      
!            PUNCT     

            SPACE     
What         PRON      
a            DET       
gamechanger  NOUN      
!            PUNCT     


           SPACE     
Such         DET       
a            DET       
splendid     ADJ       
atmosphere   NOUN      
eating       VERB      
sugary       ADJ       
snacks       NOUN      
to           PART      
keep         VERB      
running      VERB      
in           ADP       
the          DET       
treadmill    NOUN      
!            PUNCT     
The          DET       
very         ADV       
little       ADJ       
benefits     NOUN      
and          CCONJ     
below        ADP       
market       NOUN      
pay          NOUN      
in           ADP       
engineering  NOUN      
keep         VERB      
my           PRON      
subordinates NOUN      
very         ADV       
stimulated   ADJ       
.            PUNCT     
The          DET       
-1           ADJ       
budget       NOUN      
for          ADP       
team         NOUN      
events       NOUN      
is           AUX       
an           DET       
added        VERB      
bonus        NOUN      
!            PUNCT     


           SPACE     
Loved        VERB      
working      VERB      
with         ADP       
burned       VERB      
-            PUNCT     
out          ADP       
engineers    NOUN      
while        SCONJ     
trying       VERB      
to           PART      
avoid        VERB      
the          DET       
political    ADJ       
minefields   NOUN      
of           ADP       
toxic        ADJ       
managers     NOUN      
and          CCONJ     
‘            PUNCT     
yes          INTJ      
men          NOUN      
’            PUNCT     
that         PRON      
wait         VERB      
us           PRON      
in           ADP       
every        DET       
corner       NOUN      
.            PUNCT     

            SPACE     
Turned       VERB      
a            DET       
blind        ADJ       
eye          NOUN      
to           ADP       
bully        NOUN      
engineers    NOUN      
turned       VERB      
managers     NOUN      
overnight    ADV       
and          CCONJ     
mastered     VERB      
avoiding     VERB      
sec          PROPN     
sociopaths   NOUN      
that         PRON      
were         AUX       
given        VERB      
management   NOUN      
duties       NOUN      
!            PUNCT     


           SPACE     
I            PRON      
had          VERB      
the          DET       
opportunity  NOUN      
to           PART      
be           AUX       
called       VERB      
into         ADP       
last         ADJ       
moment       NOUN      
meetings     NOUN      
about        ADP       
compliance   NOUN      
topics       NOUN      
that         PRON      
should       AUX       
have         AUX       
been         AUX       
done         VERB      
yesterday    NOUN      
,            PUNCT     
fudge        VERB      
the          DET       
way          NOUN      
to           ADP       
the          DET       
next         ADJ       
audit        NOUN      
to           PART      
avoid        VERB      
more         ADJ       
regulatory   ADJ       
fines        NOUN      
from         ADP       
Bafin        PROPN     
and          CCONJ     
hear         VERB      
about        ADP       
customer     NOUN      
data         NOUN      
stolen       VERB      
that         SCONJ     
nobody       PRON      
knows        VERB      
what         PRON      
they         PRON      
were         AUX       
!            PUNCT     


           SPACE     
The          DET       
company      NOUN      
mission      NOUN      
kept         VERB      
me           PRON      
on           ADP       
my           PRON      
feet         NOUN      
,            PUNCT     
year         NOUN      
after        ADP       
year         NOUN      
!            PUNCT     
Let          VERB      
’s           PRON      
do           VERB      
200          NUM       
things       NOUN      
when         SCONJ     
realistically ADV       
we           PRON      
can          AUX       
do           VERB      
50           NUM       
.            PUNCT     

            SPACE     
Who          PRON      
cares        VERB      
as           ADV       
long         ADV       
as           SCONJ     
we           PRON      
can          AUX       
have         VERB      
cool         ADJ       
warehouse    NOUN      
parties      NOUN      
with         ADP       
the          DET       
founders     NOUN      
!            PUNCT     


           SPACE     
Total        ADJ       
lack         NOUN      
of           ADP       
focus        NOUN      
and          CCONJ     
working      NOUN      
processes    NOUN      
made         VERB      
me           PRON      
better       ADJ       
at           ADP       
useless      ADJ       
ping         NOUN      
-            PUNCT     
pong         NOUN      
with         ADP       
others       NOUN      
…            PUNCT     
almost       ADV       
championed   VERB      
the          DET       
public       ADJ       
sector       NOUN      
9            NUM       
-            SYM       
3            NUM       
style        NOUN      
of           ADP       
N26          PROPN     
Bank         PROPN     
.            PUNCT     


           SPACE     
Unfortunately ADV       
other        ADJ       
directors    NOUN      
that         PRON      
come         VERB      
and          CCONJ     
quit         VERB      
within       ADP       
the          DET       
year         NOUN      
were         AUX       
not          PART      
so           ADV       
determined   ADJ       
.            PUNCT     
So           ADV       
weak         AUX       
:(           PUNCT     

            SPACE     
Same         PROPN     
goes         VERB      
for          ADP       
all          DET       
those        PRON      
who          PRON      
disappeared  VERB      
on           ADP       
a            DET       
friday       PROPN     
afternoon    NOUN      
.            PUNCT     
You          PRON      
did          AUX       
n’t          PART      
see          VERB      
it           PRON      
coming       VERB      
,            PUNCT     
did          VERB      
you          PRON      
?            PUNCT     


           SPACE     
The          DET       
epitome      NOUN      
of           ADP       
success      NOUN      
is           AUX       
measured     VERB      
by           ADP       
how          SCONJ     
many         ADJ       
CTOs         NOUN      
we           PRON      
are          AUX       
changing     VERB      
within       ADP       
a            DET       
year         NOUN      
.            PUNCT     
Ask          VERB      
any          DET       
engineer     NOUN      
!            PUNCT     

            SPACE     
My           PRON      
favourite    ADJ       
interim      ADJ       
CTO          PROPN     
moment       NOUN      
was          AUX       
when         SCONJ     
our          PRON      
saviour      NOUN      
got          AUX       
promoted     VERB      
,            PUNCT     
fired        VERB      
managers     NOUN      
that         PRON      
disagreed    VERB      
with         ADP       
the          DET       
complete     ADJ       
lack         NOUN      
of           ADP       
plan         NOUN      
,            PUNCT     
toured       VERB      
around       ADP       
offices      NOUN      
like         ADP       
a            DET       
rockstar     NOUN      
with         ADP       
his          PRON      
baseball     NOUN      
cap          NOUN      
and          CCONJ     
‘            PUNCT     
agile        ADJ       
consultant   NOUN      
’            PUNCT     
supporters   NOUN      
,            PUNCT     
got          AUX       
demoted      VERB      
AND          CCONJ     
quit         VERB      
…            PUNCT     
ALL          PRON      
in           ADP       
6            NUM       
months       NOUN      
.            PUNCT     

            SPACE     
What         PRON      
a            DET       
ride         NOUN      
!            PUNCT     
It           PRON      
got          VERB      
me           PRON      
more         ADV       
acquainted   VERB      
with         ADP       
kitkat       PROPN     
!            PUNCT     


           SPACE     
Finally      ADV       
,            PUNCT     
a            DET       
big          ADJ       
thanks       NOUN      
to           ADP       
the          DET       
HR           PROPN     
hard         ADJ       
core         NOUN      
.            PUNCT     
Ruthless     ADJ       
,            PUNCT     
trained      VERB      
in           ADP       
hire         PROPN     
&            CCONJ     
fire         NOUN      
techniques   NOUN      
,            PUNCT     
they         PRON      
always       ADV       
find         VERB      
time         NOUN      
if           SCONJ     
it           PRON      
’s           VERB      
about        ADP       
whipping     VERB      
.            PUNCT     

            SPACE     
With         ADP       
resourceful  ADJ       
denial       NOUN      
they         PRON      
have         AUX       
been         AUX       
downplaying  VERB      
the          DET       
countless    ADJ       
something    PRON      
-            PUNCT     
hit          VERB      
-            PUNCT     
the          DET       
-            PUNCT     
fan          NOUN      
moments      NOUN      
,            PUNCT     
giving       VERB      
us           PRON      
lots         NOUN      
of           ADP       
self         NOUN      
-            PUNCT     
praising     VERB      
bot          NOUN      
-            PUNCT     
style        NOUN      
answers      NOUN      
about        ADP       
N26          PROPN     
achievements NOUN      
!            PUNCT     
The          DET       
joy          NOUN      
!            PUNCT     
!            PUNCT     

            SPACE     
I            PRON      
love         VERB      
the          DET       
way          NOUN      
they         PRON      
take         VERB      
feedback     NOUN      
constantly   ADV       
over         ADP       
the          DET       
years        NOUN      
and          CCONJ     
making       VERB      
N26          PROPN     
great        ADJ       
again        ADV       
!            PUNCT     
!            PUNCT     


           SPACE     
After        ADV       
all          ADV       
,            PUNCT     
it           PRON      
's           AUX       
no           DET       
surprise     NOUN      
that         SCONJ     
N26          PROPN     
is           AUX       
the          DET       
top          ADJ       
startup      NOUN      
employer     NOUN      
in           ADP       
the          DET       
world        NOUN      
!            PUNCT     
Constantly   ADV       
hiring       VERB      
and          CCONJ     
in           ADP       
hypergrowth  NOUN      
.            PUNCT     

            SPACE     
For          ADP       
example      NOUN      
,            PUNCT     
since        SCONJ     
Feb          PROPN     
last         ADJ       
year         NOUN      
we           PRON      
are          AUX       
300          NUM       
employees    NOUN      
less         ADV       
!            PUNCT     
If           SCONJ     
this         PRON      
is           AUX       
not          PART      
sustainable  ADJ       
growth       NOUN      
towards      ADP       
0            NUM       
,            PUNCT     
what         PRON      
is           AUX       
it           PRON      
?            PUNCT     
!            PUNCT     


           SPACE     
Apollo       PROPN     
13           NUM       
,            PUNCT     
is           AUX       
the          DET       
mission      NOUN      
that         PRON      
exactly      ADV       
matches      VERB      
N26          PROPN     
.            PUNCT     
I            PRON      
’m           VERB      
proud        ADJ       
to           PART      
say          VERB      
that         SCONJ     
with         ADP       
such         ADJ       
determined   ADJ       
leadership   NOUN      
we           PRON      
made         VERB      
it           PRON      
already      ADV       
5            NUM       
times        NOUN      
there        ADV       
!            PUNCT     
!            PUNCT     
Hurrah       PROPN     
hurrah       INTJ      
!            PUNCT     

Named Entity Recognition:
one day           DATE
the last few years DATE
6-12 months       DATE
-1                ORG
overnight         TIME
sec               ORG
yesterday         DATE
Bafin             LOC
year              DATE
year              DATE
200               CARDINAL
50                CARDINAL
9                 CARDINAL
N26 Bank          ORG
the year          DATE
friday            DATE
afternoon         TIME
a year            DATE
6 months          DATE
the years         DATE
N26               ORG
hypergrowth       GPE
Feb last year     DATE
300               CARDINAL
0                 CARDINAL
Apollo 13         LAW
5                 CARDINAL
Hurrah            PERSON

--------------------------------------------------

Tokenization and POS Tagging:
Great        ADJ       
work         NOUN      
environment  NOUN      
,            PUNCT     
lots         NOUN      
of           ADP       
support      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Able         ADJ       
to           PART      
use          VERB      
a            DET       
wide         ADJ       
variety      NOUN      
of           ADP       
software     NOUN      
and          CCONJ     
tools        NOUN      

            SPACE     
-            PUNCT     
Able         ADJ       
to           PART      
be           AUX       
promoted     VERB      
within       ADP       
a            DET       
short        ADJ       
time         NOUN      
period       NOUN      

            SPACE     
-            PUNCT     
Beer         NOUN      
in           ADP       
the          DET       
kitchen      NOUN      
refrigerators NOUN      

            SPACE     
-            PUNCT     
Flexible     ADJ       
schedule     NOUN      
and          CCONJ     
able         ADJ       
to           PART      
work         VERB      
remotely     ADV       

--------------------------------------------------

Tokenization and POS Tagging:
Equipment    NOUN      
,            PUNCT     
free         ADJ       
drinks       NOUN      
,            PUNCT     
super        ADV       
talented     ADJ       
colleagues   NOUN      
(            PUNCT     
up           ADP       
to           ADP       
TL           PROPN     
/            SYM       
manager      NOUN      
level        NOUN      
only         ADV       
)            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Very         ADV       
smart        ADJ       
people       NOUN      
from         ADP       
whom         PRON      
you          PRON      
can          AUX       
learn        VERB      
a            DET       
lot          NOUN      
.            PUNCT     
The          DET       
product      NOUN      
itself       PRON      
is           AUX       
really       ADV       
cool         ADJ       
and          CCONJ     
has          VERB      
a            DET       
lot          NOUN      
of           ADP       
potential    NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Average      ADJ       
pay          NOUN      
for          ADP       
Berlin       PROPN     

            SPACE     
Nice         PROPN     
office       NOUN      
environment  NOUN      

Named Entity Recognition:
Berlin
Nice       GPE

--------------------------------------------------

Tokenization and POS Tagging:
opportunities NOUN      
to           PART      
make         VERB      
extra        ADJ       
for          ADP       
working      NOUN      
holidays     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Free         ADJ       
food         NOUN      
and          CCONJ     
drink        NOUN      
,            PUNCT     
cool         ADJ       
building     NOUN      
,            PUNCT     
nice         ADJ       
team         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Mostly       ADV       
nice         ADJ       
colleagues   NOUN      

            SPACE     
snacks       NOUN      
in           ADP       
the          DET       
office       NOUN      

            SPACE     
not          PART      
much         ADJ       
else         ADV       

--------------------------------------------------

Processing 'Cons':
Tokenization and POS Tagging:
Management   NOUN      
crisis       NOUN      
,            PUNCT     
high         ADJ       
turnover     NOUN      
on           ADP       
management   NOUN      
level        NOUN      
,            PUNCT     
from         ADP       
Leads        NOUN      
to           ADP       
C            NOUN      
-            PUNCT     
Level        NOUN      

Named Entity Recognition:
Leads to C-Level  ORG

--------------------------------------------------

Tokenization and POS Tagging:
Management   NOUN      
is           AUX       
not          PART      
really       ADV       
ready        ADJ       
to           PART      
listen       VERB      
opinions     NOUN      
different    ADJ       
than         ADP       
theirs       PRON      
,            PUNCT     
and          CCONJ     
not          PART      
really       ADV       
concerned    ADJ       
about        ADP       
developing   VERB      
careers      NOUN      
.            PUNCT     


           SPACE     
Attrition    NOUN      
is           AUX       
high         ADJ       
.            PUNCT     
Salaries     NOUN      
are          AUX       
punished     VERB      
with         ADP       
the          DET       
flag         NOUN      
of           ADP       
"            PUNCT     
we           PRON      
have         AUX       
to           PART      
become       VERB      
profitable   ADJ       
"            PUNCT     
,            PUNCT     
but          CCONJ     
the          DET       
top          ADJ       
whole        ADJ       
compensation NOUN      
schema       PROPN     
is           AUX       
blurred      VERB      
.            PUNCT     


           SPACE     
There        PRON      
is           VERB      
plenty       NOUN      
of           ADP       
evaluation   NOUN      
for          ADP       
Individual   PROPN     
Contributors PROPN     
,            PUNCT     
but          CCONJ     
not          PART      
the          DET       
other        ADJ       
way          NOUN      
around       ADV       
.            PUNCT     
Despite      SCONJ     
there        PRON      
is           VERB      
a            DET       
supposedly   ADV       
anonymous    ADJ       
feedback     NOUN      
tool         NOUN      
,            PUNCT     
the          DET       
reports      NOUN      
are          AUX       
given        VERB      
by           ADP       
department   NOUN      
or           CCONJ     
team         NOUN      
,            PUNCT     
so           CCONJ     
if           SCONJ     
you          PRON      
are          AUX       
serious      ADJ       
answering    NOUN      
that         PRON      
is           AUX       
not          PART      
difficult    ADJ       
to           PART      
conclude     VERB      
who          PRON      
is           AUX       
writing      VERB      
.            PUNCT     

Named Entity Recognition:
Individual Contributors ORG

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
managers     NOUN      
in           ADP       
this         DET       
company      NOUN      
do           AUX       
not          PART      
support      VERB      
those        DET       
wonderful    ADJ       
people       NOUN      
,            PUNCT     
to           ADP       
the          DET       
contrary     NOUN      
,            PUNCT     
they         PRON      
create       VERB      
toxic        ADJ       
environments NOUN      
and          CCONJ     
try          VERB      
to           PART      
pit          VERB      
coworkers    NOUN      
against      ADP       
each         DET       
other        ADJ       
,            PUNCT     
and          CCONJ     
also         ADV       
use          VERB      
lies         NOUN      
and          CCONJ     
bullying     VERB      
to           PART      
keep         VERB      
people       NOUN      
in           ADP       
line         NOUN      
or           CCONJ     
drive        VERB      
them         PRON      
away         ADV       

--------------------------------------------------

Tokenization and POS Tagging:
Some         DET       
uncertainty  NOUN      
with         ADP       
organisation NOUN      
direction    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Project      NOUN      
workflow     NOUN      
can          AUX       
be           AUX       
lost         VERB      
in           ADP       
the          DET       
thread       NOUN      
when         SCONJ     
changes      NOUN      
happen       VERB      
.            PUNCT     
It           PRON      
is           AUX       
easy         ADJ       
to           PART      
lose         VERB      
the          DET       
reason       NOUN      
why          SCONJ     
that         DET       
kind         NOUN      
of           ADP       
project      NOUN      
needs        VERB      
to           PART      
be           AUX       
delivered    VERB      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Not          PART      
so           ADV       
much         ADJ       
chance       NOUN      
of           ADP       
growth       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
the          DET       
salary       NOUN      
is           AUX       
quite        ADV       
low          ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
Too          ADV       
many         ADJ       
layers       NOUN      
in           ADP       
the          DET       
org          NOUN      
after        ADP       
scaling      VERB      
a            DET       
lot          NOUN      
very         ADV       
quickly      ADV       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
problems     NOUN      
with         ADP       
budget       NOUN      
regarding    VERB      
salary       NOUN      
updates      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Product      NOUN      
leaders      NOUN      
need         VERB      
more         ADJ       
focus        NOUN      
on           ADP       
being        AUX       
more         ADJ       
data         NOUN      
informed     VERB      
.            PUNCT     
The          DET       
data         NOUN      
insights     VERB      
culture      NOUN      
still        ADV       
needs        VERB      
some         DET       
maturing     VERB      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
-N26         PROPN     
has          AUX       
had          VERB      
several      ADJ       
layoffs      NOUN      
,            PUNCT     
does         AUX       
n't          PART      
seem         VERB      
to           PART      
be           AUX       
a            DET       
company      NOUN      
where        SCONJ     
longevity    NOUN      
is           AUX       
possible     ADJ       
!            PUNCT     
!            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
terrible     ADJ       
management   NOUN      
,            PUNCT     
lots         NOUN      
of           ADP       
people       NOUN      
in           ADP       
my           PRON      
department   NOUN      
left         VERB      
already      ADV       

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
not          PART      
a            DET       
great        ADJ       
team         NOUN      
building     NOUN      
(            PUNCT     
noone        NOUN      
ever         ADV       
goes         VERB      
to           ADP       
the          DET       
office       NOUN      
)            PUNCT     

Named Entity Recognition:
noone             TIME

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Not          PART      
a            DET       
lot          NOUN      
of           ADP       
freedom      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
not          PART      
organised    ADJ       
,            PUNCT     
not          PART      
transparent  ADJ       
,            PUNCT     
demanding    VERB      
,            PUNCT     
very         ADV       
very         ADV       
bad          ADJ       
paid         VERB      

--------------------------------------------------

Tokenization and POS Tagging:
Driving      VERB      
changes      NOUN      
sometimes    ADV       
take         VERB      
time         NOUN      
and          CCONJ     
not          PART      
every        DET       
team         NOUN      
member       NOUN      
understand   VERB      
around       ADP       
change       NOUN      
management   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
A            DET       
lot          NOUN      
of           ADP       
politics     NOUN      
between      ADP       
the          DET       
work         PROPN     
council      NOUN      
and          CCONJ     
management   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
it           PRON      
was          AUX       
a            DET       
bit          NOUN      
cowboy       NOUN      
like         INTJ      
,            PUNCT     
as           ADP       
in           ADP       
not          PART      
so           ADV       
many         ADJ       
mentorship   NOUN      
and          CCONJ     
support      NOUN      
systems      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
I            PRON      
only         ADV       
heard        VERB      
,            PUNCT     
but          CCONJ     
did          AUX       
n't          PART      
experience   VERB      
,            PUNCT     
that         SCONJ     
upper        ADJ       
management   NOUN      
can          AUX       
be           AUX       
quite        ADV       
toxic        ADJ       
and          CCONJ     
demanding    VERB      

            SPACE     
Also         ADV       
now          ADV       
,            PUNCT     
after        ADP       
a            DET       
couple       NOUN      
of           ADP       
rounds       NOUN      
of           ADP       
layoffs      NOUN      
,            PUNCT     
people       NOUN      
who          PRON      
stayed       VERB      
have         VERB      
much         ADV       
more         ADJ       
to           PART      
-            PUNCT     
dos          NOUN      
on           ADP       
their        PRON      
plates       NOUN      
and          CCONJ     
much         ADV       
more         ADJ       
pressure     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
There        PRON      
's           VERB      
a            DET       
lot          NOUN      
of           ADP       
technical    ADJ       
debt         NOUN      
,            PUNCT     
Compliance   NOUN      
requirements NOUN      
and          CCONJ     
bureaucratic ADJ       
overhead     NOUN      
can          AUX       
be           AUX       
significant  ADJ       
roadblocks   NOUN      
to           ADP       
getting      VERB      
things       NOUN      
done         VERB      
.            PUNCT     


           SPACE     
Company      NOUN      
values       NOUN      
for          ADP       
diversity    NOUN      
and          CCONJ     
inclusion    NOUN      
are          AUX       
very         ADV       
progressive  ADJ       
,            PUNCT     
but          CCONJ     
this         PRON      
is           AUX       
not          PART      
reflected    VERB      
in           ADP       
upper        ADJ       
management   NOUN      
.            PUNCT     


           SPACE     
Company      NOUN      
-            PUNCT     
wide         ADJ       
initiatives  NOUN      
and          CCONJ     
changes      NOUN      
in           ADP       
direction    NOUN      
can          AUX       
be           AUX       
quite        ADV       
disruptive   ADJ       
to           ADP       
accomplishing VERB      
goals        NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
lack         NOUN      
of           ADP       
stable       ADJ       
leadership   NOUN      
,            PUNCT     
high         ADJ       
attrition    NOUN      
rates        NOUN      
,            PUNCT     
dissatisfied ADJ       
employees    NOUN      
,            PUNCT     
toxic        ADJ       
work         NOUN      
culture      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
No           DET       
strong       ADJ       
career       NOUN      
prospects    NOUN      
and          CCONJ     
weak         ADJ       
compensation NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Everyone     PRON      
is           AUX       
busy         ADJ       
and          CCONJ     
it           PRON      
can          AUX       
be           AUX       
hard         ADJ       
as           SCONJ     
a            DET       
manager      NOUN      
to           PART      
get          VERB      
support      NOUN      
from         ADP       
others       NOUN      
or           CCONJ     
even         ADV       
to           PART      
work         VERB      
on           ADP       
projects     NOUN      
in           ADP       
collaboration NOUN      
with         ADP       
other        ADJ       
managers     NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Nothing      PRON      
at           ADP       
the          DET       
moment       NOUN      
to           PART      
share        VERB      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
a            DET       
bit          NOUN      
toxic        ADJ       
at           ADP       
times        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
I            PRON      
do           AUX       
n't          PART      
have         VERB      
obvious      ADJ       
cons         NOUN      
to           PART      
report       VERB      
.            PUNCT     
The          DET       
environment  NOUN      
was          AUX       
fast         ADV       
paced        VERB      
,            PUNCT     
which        PRON      
I            PRON      
loved        VERB      
,            PUNCT     
the          DET       
consequence  NOUN      
of           ADP       
that         PRON      
is           AUX       
that         SCONJ     
the          DET       
culture      NOUN      
aims         VERB      
to           PART      
innovate     VERB      
and          CCONJ     
is           AUX       
willing      ADJ       
to           PART      
fail/        VERB      
sacrifice    NOUN      
efficiency   NOUN      
however      ADV       
,            PUNCT     
which        PRON      
made         VERB      
the          DET       
experience   NOUN      
very         ADV       
energizing   VERB      
for          ADP       
me           PRON      
.            PUNCT     
I            PRON      
can          AUX       
see          VERB      
how          SCONJ     
it           PRON      
might        AUX       
be           AUX       
taxing       VERB      
for          ADP       
others       NOUN      
however      ADV       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Company      NOUN      
culture      NOUN      
not          PART      
aligned      VERB      
with         ADP       
what         PRON      
they         PRON      
assess       VERB      

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
workforce    NOUN      
planning     NOUN      
was          AUX       
erratic      ADJ       
,            PUNCT     
with         ADP       
frequent     ADJ       
shifts       NOUN      
in           ADP       
outlook      NOUN      
,            PUNCT     
leading      VERB      
to           ADP       
an           DET       
environment  NOUN      
of           ADP       
perpetual    ADJ       
uncertainty  NOUN      
.            PUNCT     
Transparency NOUN      
was          AUX       
not          PART      
just         ADV       
lacking      VERB      
but          CCONJ     
replaced     VERB      
by           ADP       
a            DET       
disconcerting VERB      
pattern      NOUN      
of           ADP       
deceit       NOUN      
,            PUNCT     
eroding      VERB      
trust        NOUN      
within       ADP       
the          DET       
team         NOUN      
.            PUNCT     


           SPACE     
A            DET       
particularly ADV       
disheartening ADJ       
episode      NOUN      
was          AUX       
the          DET       
handling     NOUN      
of           ADP       
mass         NOUN      
layoffs      NOUN      
,            PUNCT     
with         ADP       
the          DET       
Talent       PROPN     
Acquisition  PROPN     
team         NOUN      
facing       VERB      
layoffs      NOUN      
three        NUM       
times        NOUN      
within       ADP       
18           NUM       
months       NOUN      
.            PUNCT     
Dubious      ADJ       
reasons      NOUN      
coerced      VERB      
team         NOUN      
members      NOUN      
into         ADP       
signing      VERB      
mutual       ADJ       
termination  NOUN      
agreements   NOUN      
,            PUNCT     
only         ADV       
for          SCONJ     
the          DET       
company      NOUN      
to           PART      
later        ADV       
claim        VERB      
imminent     ADJ       
profitability NOUN      
.            PUNCT     


           SPACE     
TA           PROPN     
team         NOUN      
's           PART      
work         NOUN      
culture      NOUN      
is           AUX       
tainted      VERB      
by           ADP       
favoritism   PROPN     
,            PUNCT     
where        SCONJ     
climbing     VERB      
the          DET       
career       NOUN      
ladder       NOUN      
is           AUX       
more         ADJ       
about        ADP       
being        AUX       
a            DET       
'            PUNCT     
yes          NOUN      
-            PUNCT     
person       NOUN      
'            PUNCT     
than         ADP       
actual       ADJ       
competence   NOUN      
.            PUNCT     
Those        PRON      
willing      ADJ       
to           PART      
act          VERB      
as           ADP       
unquestioning VERB      
puppets      NOUN      
are          AUX       
favored      VERB      
,            PUNCT     
irrespective ADV       
of           ADP       
their        PRON      
contributions NOUN      
.            PUNCT     


           SPACE     
For          ADP       
those        PRON      
seeking      VERB      
a            DET       
workplace    NOUN      
that         PRON      
values       VERB      
genuine      ADJ       
effort       NOUN      
and          CCONJ     
encourages   VERB      
career       NOUN      
growth       NOUN      
based        VERB      
on           ADP       
merit        NOUN      
,            PUNCT     
please       INTJ      
think        VERB      
twice        ADV       
.            PUNCT     
The          DET       
constant     ADJ       
threat       NOUN      
of           ADP       
layoffs      NOUN      
and          CCONJ     
a            DET       
culture      NOUN      
of           ADP       
fear         NOUN      
make         VERB      
professional ADJ       
development  NOUN      
secondary    ADJ       
to           ADP       
survival     NOUN      
.            PUNCT     

Named Entity Recognition:
Talent Acquisition ORG
three             CARDINAL
18 months         DATE

--------------------------------------------------

Tokenization and POS Tagging:
no           DET       
meritocracy  NOUN      
take         VERB      
into         ADP       
consideration NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Terrible     ADJ       
team         NOUN      
culture      NOUN      
,            PUNCT     
managers     NOUN      
are          AUX       
not          PART      
trained      VERB      
on           ADP       
people       NOUN      
management   NOUN      
,            PUNCT     
higher       ADJ       
ups          NOUN      
are          AUX       
not          PART      
motivated    VERB      
to           PART      
work         VERB      
they         PRON      
are          AUX       
just         ADV       
sitting      VERB      
on           ADP       
their        PRON      
cushy        ADJ       
salaries     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Heavy        ADJ       
workflow     NOUN      
.            PUNCT     
Late         ADJ       
shift        NOUN      
rotation     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Started      VERB      
2            NUM       
years        NOUN      
ago          ADV       
and          CCONJ     
everything   PRON      
was          AUX       
perfect      ADJ       
,            PUNCT     
growth       NOUN      
opportunities NOUN      
,            PUNCT     
commitment   NOUN      
from         ADP       
the          DET       
management   NOUN      
towards      ADP       
benefit      NOUN      
maximization NOUN      
,            PUNCT     
empathy      NOUN      
and          CCONJ     
a            DET       
great        ADJ       
communication NOUN      
flow         NOUN      
.            PUNCT     
In           ADP       
the          DET       
past         ADJ       
1            NUM       
year         NOUN      
at           ADP       
least        ADJ       
it           PRON      
seems        VERB      
like         ADP       
a            DET       
totally      ADV       
different    ADJ       
company      NOUN      
;            PUNCT     
all          DET       
those        DET       
great        ADJ       
values       NOUN      
are          AUX       
now          ADV       
missing      VERB      
,            PUNCT     
there        PRON      
is           VERB      
no           DET       
clear        ADJ       
path         NOUN      
towards      ADP       
growth       NOUN      
,            PUNCT     
promotions   NOUN      
and          CCONJ     
compensation NOUN      
budgets      NOUN      
are          AUX       
minimal      ADJ       
(            PUNCT     
and          CCONJ     
on           ADP       
hold         NOUN      
)            PUNCT     
and          CCONJ     
the          DET       
political    ADJ       
environment  NOUN      
between      ADP       
management   NOUN      
and          CCONJ     
the          DET       
WoCo         PROPN     
is           AUX       
worse        ADJ       
than         ADP       
ever         ADV       
.            PUNCT     
-            PUNCT     
Management   NOUN      
lacks        VERB      
open         ADJ       
communication NOUN      
and          CCONJ     
turnover     NOUN      
is           AUX       
skyrocketing VERB      
,            PUNCT     
sadly        ADV       
with         ADP       
the          DET       
most         ADV       
capable      ADJ       
colleagues   NOUN      
,            PUNCT     
not          PART      
to           PART      
say          VERB      
those        PRON      
that         PRON      
were         AUX       
offered      VERB      
to           PART      
leave        VERB      
the          DET       
company      NOUN      
due          ADP       
to           ADP       
'            PUNCT     
strategic    ADJ       
priorities   NOUN      
'            PART      

Named Entity Recognition:
2 years ago       DATE
the past 1 year   DATE
WoCo              ORG

--------------------------------------------------

Tokenization and POS Tagging:
Do           AUX       
they         PRON      
really       ADV       
care         VERB      
about        ADP       
you          PRON      
,            PUNCT     
or           CCONJ     
are          AUX       
you          PRON      
just         ADV       
another      DET       
TA           NOUN      
number       NOUN      
...          PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Leadership   PROPN     
Performance  PROPN     
reviews      VERB      
Salaries     NOUN      
Benefits     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
company      NOUN      
with         ADP       
terrible     ADJ       
management   NOUN      
and          CCONJ     
issues       NOUN      
of           ADP       
communication NOUN      
,            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
At           ADP       
the          DET       
moment       NOUN      
,            PUNCT     
company      NOUN      
is           AUX       
trying       VERB      
to           PART      
find         VERB      
its          PRON      
pace         NOUN      
again        ADV       
,            PUNCT     
which        PRON      
is           AUX       
great        ADJ       
but          CCONJ     
demand       VERB      
a            DET       
lot          NOUN      
of           ADP       
work         NOUN      
and          CCONJ     
commitment   NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Top          PROPN     
Management   PROPN     
Politics     PROPN     
Works        PROPN     
Council      PROPN     

Named Entity Recognition:
Top Management Politics Works Council ORG

--------------------------------------------------

Tokenization and POS Tagging:
Not          PART      
many         ADJ       
but          CCONJ     
the          DET       
financial    ADJ       
environment  NOUN      
is           AUX       
not          PART      
benefiting   VERB      
now          ADV       
tech         NOUN      
companies    NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Very         ADV       
political    ADJ       
environment  NOUN      
across       ADP       
most         ADJ       
departments  NOUN      
,            PUNCT     
the          DET       
people       NOUN      
who          PRON      
get          AUX       
promoted     VERB      
are          AUX       
the          DET       
not          PART      
the          DET       
ones         NOUN      
who          PRON      
necessarily  ADV       
deserve      VERB      
it           PRON      
,            PUNCT     
very         ADV       
uninspiring  ADJ       
,            PUNCT     
sometimes    ADV       
incompetent  ADJ       
and          CCONJ     
often        ADV       
inexperienced ADJ       
leaders      NOUN      
.            PUNCT     
Employees    NOUN      
known        VERB      
it           PRON      
,            PUNCT     
but          CCONJ     
do           AUX       
n’t          PART      
bother       VERB      
to           PART      
say          VERB      
it           PRON      
,            PUNCT     
as           SCONJ     
the          DET       
feedback     NOUN      
culture      NOUN      
does         AUX       
n’t          PART      
work         VERB      
the          DET       
same         ADJ       
for          ADP       
everyone     PRON      
.            PUNCT     
Benefits     NOUN      
are          AUX       
not          PART      
competitive  ADJ       
at           ADV       
all          ADV       
and          CCONJ     
no           PRON      
budgets      NOUN      
to           PART      
work         VERB      
with         ADP       
,            PUNCT     
just         ADV       
big          ADJ       
unrealistic  ADJ       
expectations NOUN      
.            PUNCT     
Great        ADJ       
employees    NOUN      
are          AUX       
leaving      VERB      
in           ADP       
big          ADJ       
numbers      NOUN      
nowadays     ADV       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Converging   VERB      
towards      ADP       
a            DET       
hierarchical ADJ       
approach     NOUN      
in           ADP       
decision     NOUN      
-            PUNCT     
making       NOUN      
and          CCONJ     
problem      NOUN      
-            PUNCT     
solving      NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Sometimes    ADV       
lack         NOUN      
of           ADP       
domain       NOUN      
expertise    NOUN      
due          ADP       
to           ADP       
average      ADJ       
age          NOUN      
of           ADP       
staff        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
company      NOUN      
should       AUX       
introduce    VERB      
bonuses      NOUN      
for          ADP       
employees    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Poor         ADJ       
growth       NOUN      
-            PUNCT     
Poor         PROPN     
Compensation NOUN      
-            PUNCT     
Lack         NOUN      
of           ADP       
communication NOUN      
-            PUNCT     
Lack         NOUN      
of           ADP       
transparency NOUN      
-            PUNCT     
Chaotic      ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
it           PRON      
is           AUX       
not          PART      
always       ADV       
as           SCONJ     
they         PRON      
say          VERB      
it           PRON      
is           AUX       
gon          VERB      
na           PART      
be           AUX       

--------------------------------------------------

Tokenization and POS Tagging:
1            X         
.            PUNCT     
Limited      PROPN     
Internal     PROPN     
Mobility     PROPN     
Options      PROPN     
2            NUM       
.            PUNCT     
No           DET       
Performance  PROPN     
Bonus        PROPN     
system       NOUN      
.            PUNCT     

Named Entity Recognition:
1                 CARDINAL
Limited Internal Mobility Options ORG

--------------------------------------------------

Tokenization and POS Tagging:
Not          PART      
all          DET       
departments  NOUN      
are          AUX       
treated      VERB      
equally      ADV       

--------------------------------------------------

Tokenization and POS Tagging:
Multiple     ADJ       
stakeholders NOUN      
involved     VERB      
in           ADP       
projects     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Avg          NOUN      
.            PUNCT     
salary       NOUN      
-            PUNCT     
Stressful    ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
BaFin        PROPN     
regulations  NOUN      
lead         VERB      
to           ADP       
some         DET       
roadblocks   NOUN      
to           ADP       
every        DET       
day          NOUN      
tasks        VERB      

Named Entity Recognition:
BaFin             LOC

--------------------------------------------------

Tokenization and POS Tagging:
I            PRON      
had          VERB      
a            DET       
feeling      NOUN      
that         SCONJ     
management   NOUN      
did          AUX       
n't          PART      
know         VERB      
how          SCONJ     
to           PART      
run          VERB      
business     NOUN      
/            SYM       
work         NOUN      
and          CCONJ     
their        PRON      
poor         ADJ       
decisions    NOUN      
/            SYM       
actions      NOUN      
can          AUX       
take         VERB      
a            DET       
company      NOUN      
down         ADP       
.            PUNCT     
The          DET       
hiring       VERB      
strategy     NOUN      
is           AUX       
also         ADV       
weird        ADJ       
-            PUNCT     
hiring       VERB      
foreigners   NOUN      
from         ADP       
abroad       ADV       
as           SCONJ     
they         PRON      
are          AUX       
just         ADV       
cheap        ADJ       
labor        NOUN      
cost         NOUN      
but          CCONJ     
very         ADV       
often        ADV       
are          AUX       
have         VERB      
bad          ADJ       
qualifications NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
A            DET       
lot          NOUN      
of           ADP       
processes    NOUN      
going        VERB      
on           ADP       
at           ADP       
once         ADV       

--------------------------------------------------

Tokenization and POS Tagging:
I            PRON      
do           AUX       
n't          PART      
have         VERB      
anything     PRON      
right        ADV       
now          ADV       

--------------------------------------------------

Tokenization and POS Tagging:
Very         ADV       
high         ADJ       
employee     NOUN      
turnover     NOUN      
,            PUNCT     
hiring       VERB      
freeze       NOUN      
,            PUNCT     
salary       NOUN      
freeze       NOUN      
,            PUNCT     
recent       ADJ       
layoffs      NOUN      
,            PUNCT     
not          PART      
supporting   VERB      
management   NOUN      
,            PUNCT     
very         ADV       
unstable     ADJ       
and          CCONJ     
oftentimes   ADJ       
toxic        ADJ       
working      VERB      
environment  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Sidelined    VERB      
for          ADP       
positions    NOUN      
that         PRON      
were         AUX       
already      ADV       
going        VERB      
to           PART      
be           AUX       
filled       VERB      
by           ADP       
particular   ADJ       
person       NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Lacking      ADJ       
opportunities NOUN      
for          ADP       
promotions   NOUN      
and          CCONJ     
salary       NOUN      
review       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Still        ADV       
learning     VERB      
how          SCONJ     
to           PART      
transition   VERB      
to           ADP       
a            DET       
sizable      ADJ       
complany     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Serious      ADJ       
lack         NOUN      
of           ADP       
overall      ADJ       
organisation NOUN      
at           ADP       
top          ADJ       
management   NOUN      
level        NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Lots         NOUN      
of           ADP       
structural   ADJ       
changes      NOUN      
can          AUX       
happen       VERB      
in           ADP       
short        ADJ       
time         NOUN      
,            PUNCT     
which        PRON      
makes        VERB      
it           PRON      
difficult    ADJ       
to           PART      
have         VERB      
an           DET       
established  VERB      
set          NOUN      
of           ADP       
goals        NOUN      
for          ADP       
each         DET       
position     NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Long         ADV       
working      VERB      
hours        NOUN      
,            PUNCT     
unclear      ADJ       
strategy     NOUN      
and          CCONJ     
weak         ADJ       
human        ADJ       
-            PUNCT     
centric      ADJ       
leadership   NOUN      

Named Entity Recognition:
Long working hours TIME

--------------------------------------------------

Tokenization and POS Tagging:
C            NOUN      
-            PUNCT     
level        NOUN      
and          CCONJ     
the          DET       
Management   PROPN     
do           AUX       
not          PART      
care         VERB      
about        ADP       
employees    NOUN      
and          CCONJ     
are          AUX       
very         ADV       
chaotic      ADJ       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Leadership   NOUN      
not          PART      
open         ADJ       
to           PART      
feedback     VERB      
/            SYM       
critical     ADJ       
about        ADP       
the          DET       
own          ADJ       
performance  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
You          PRON      
get          VERB      
out          ADP       
what         PRON      
you          PRON      
put          VERB      
in           ADP       
,            PUNCT     
but          CCONJ     
tight        ADJ       
deadlines    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Founders     NOUN      
(            PUNCT     
who          PRON      
still        ADV       
hold         VERB      
c            NOUN      
-            PUNCT     
level        NOUN      
positions    NOUN      
)            PUNCT     
clash        VERB      
constantly   ADV       
with         ADP       
employees    NOUN      
in           ADP       
many         ADJ       
fronts       NOUN      
-            PUNCT     
Silos        NOUN      
everywhere   ADV       
by           ADP       
design       NOUN      
with         ADP       
eventual     ADJ       
collaboration NOUN      
efforts      NOUN      
for          ADP       
specific     ADJ       
cases        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Informal     ADJ       
organization NOUN      
with         ADP       
conflicting  ADJ       
centers      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Terrible     ADJ       
management   NOUN      
.            PUNCT     
Constant     ADJ       
change       NOUN      
of           ADP       
teams        NOUN      
and          CCONJ     
structure    NOUN      
therefore    ADV       
your         PRON      
job          NOUN      
is           AUX       
not          PART      
secure       ADJ       
.            PUNCT     
There        PRON      
is           VERB      
official     ADJ       
and          CCONJ     
unofficial   ADJ       
layoffs      NOUN      
all          DET       
the          DET       
time         NOUN      
.            PUNCT     
Zero         NUM       
transparency NOUN      
over         ADP       
how          SCONJ     
the          DET       
company      NOUN      
is           AUX       
doing        VERB      
.            PUNCT     
you          PRON      
just         ADV       
wo           AUX       
n’t          PART      
know         VERB      
if           SCONJ     
they         PRON      
’re          AUX       
going        VERB      
bankrupt     ADJ       
or           CCONJ     
ipo          PROPN     
.            PUNCT     
Employees    NOUN      
worth        VERB      
nothing      PRON      
to           ADP       
upper        ADJ       
management   NOUN      
.            PUNCT     
you          PRON      
stay         VERB      
you          PRON      
leave        VERB      
or           CCONJ     
you          PRON      
die          VERB      
,            PUNCT     
no           DET       
one          NOUN      
cares        VERB      
.            PUNCT     
Promotions   NOUN      
happen       VERB      
only         ADV       
to           ADP       
specific     ADJ       
people       NOUN      
.            PUNCT     

Named Entity Recognition:
Zero              CARDINAL
ipo               ORG

--------------------------------------------------

Tokenization and POS Tagging:
Senior       ADJ       
leadership   NOUN      
seems        VERB      
to           PART      
be           AUX       
living       VERB      
in           ADP       
a            DET       
parallel     ADJ       
world        NOUN      
where        SCONJ     
they         PRON      
know         VERB      
everything   PRON      
and          CCONJ     
levels       NOUN      
below        ADV       
are          AUX       
there        PRON      
just         ADV       
to           PART      
execute      VERB      
their        PRON      
horribly     ADV       
planned      VERB      
ideas        NOUN      
.            PUNCT     
Oh           INTJ      
,            PUNCT     
and          CCONJ     
diversity    NOUN      
...          PUNCT     
well         INTJ      
,            PUNCT     
that         PRON      
's           AUX       
a            DET       
whole        ADJ       
topic        NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
not          PART      
clear        ADJ       
growth       NOUN      
plan         NOUN      
burning      VERB      
deadlines    NOUN      
every        DET       
time         NOUN      
Top          ADJ       
management   NOUN      
Politics     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Terrible     ADJ       
management   NOUN      
,            PUNCT     
zero         NUM       
transparency NOUN      
,            PUNCT     
employees    NOUN      
do           AUX       
not          PART      
have         VERB      
value        NOUN      
they         PRON      
're          AUX       
just         ADV       
numbers      NOUN      
,            PUNCT     
constant     ADJ       
team         NOUN      
changes      NOUN      
,            PUNCT     
company      NOUN      
wide         ADJ       
policies     NOUN      
change       NOUN      
by           ADP       
day          NOUN      
,            PUNCT     
start        NOUN      
of           ADP       
month        NOUN      
company      NOUN      
could        AUX       
be           AUX       
a            DET       
remote       NOUN      
-            PUNCT     
only         ADV       
,            PUNCT     
end          NOUN      
of           ADP       
month        NOUN      
it           PRON      
could        AUX       
become       VERB      
office       NOUN      
only         ADV       
.            PUNCT     
Or           CCONJ     
one          NUM       
day          NOUN      
it           PRON      
's           AUX       
all          ADV       
good         ADJ       
,            PUNCT     
the          DET       
other        ADJ       
day          NOUN      
they         PRON      
have         VERB      
to           PART      
layoff       VERB      
people       NOUN      
randomly     ADV       
.            PUNCT     

Named Entity Recognition:
zero              CARDINAL
day               DATE
month             DATE
one day           DATE
the other day     DATE

--------------------------------------------------

Tokenization and POS Tagging:
Bad          PROPN     
Management   PROPN     
Many         ADJ       
tasks        NOUN      
to           PART      
do           VERB      
Micromanagement NOUN      

Named Entity Recognition:
Bad Management    ORG

--------------------------------------------------

Tokenization and POS Tagging:
Where        SCONJ     
to           PART      
start        VERB      
and          CCONJ     
when         SCONJ     
to           PART      
stop         VERB      
...          PUNCT     
?            PUNCT     


           SPACE     
Appalling    VERB      
behaviour    NOUN      
towards      ADP       
the          DET       
workforce    NOUN      
at           ADP       
top          ADJ       
management   NOUN      
level        NOUN      
,            PUNCT     
reflected    VERB      
in           ADP       
the          DET       
numerous     ADJ       
open         ADJ       
court        NOUN      
conflicts    NOUN      
between      ADP       
employer     NOUN      
and          CCONJ     
employees    NOUN      
'            PART      
representation NOUN      
.            PUNCT     
Recent       ADJ       
media        NOUN      
leaks        NOUN      
confirm      VERB      
reprehensible ADJ       
behaviour    NOUN      
even         ADV       
among        ADP       
themselves   PRON      
.            PUNCT     


           SPACE     
"            PUNCT     
Cost         NOUN      
cutting      NOUN      
"            PUNCT     
measures     NOUN      
that         PRON      
border       NOUN      
on           ADP       
the          DET       
ridiculous   ADJ       
and          CCONJ     
are          AUX       
actively     ADV       
hindering    VERB      
productivity NOUN      
&            CCONJ     
development  PROPN     
,            PUNCT     
the          DET       
type         NOUN      
of           ADP       
"            PUNCT     
shoot        VERB      
oneself      PRON      
in           ADP       
the          DET       
foot         NOUN      
"            PUNCT     
measures     NOUN      
.            PUNCT     


           SPACE     
Unclear      ADJ       
career       NOUN      
paths        NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
I            PRON      
do           AUX       
n’t          PART      
have         VERB      
anything     PRON      
to           PART      
add          VERB      
here         ADV       

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Hard         ADJ       
to           PART      
get          VERB      
promotion    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
One          NUM       
area         NOUN      
where        SCONJ     
N26          PROPN     
could        AUX       
improve      VERB      
is           AUX       
compensation NOUN      
.            PUNCT     
Salaries     NOUN      
and          CCONJ     
compensation NOUN      
are          AUX       
lower        ADJ       
than         ADP       
the          DET       
market       NOUN      
average      NOUN      
,            PUNCT     
which        PRON      
can          AUX       
be           AUX       
frustrating  ADJ       
at           ADP       
times        NOUN      
.            PUNCT     
Also         ADV       
,            PUNCT     
due          ADP       
to           ADP       
the          DET       
highly       ADV       
regulated    ADJ       
nature       NOUN      
of           ADP       
the          DET       
business     NOUN      
,            PUNCT     
programs     NOUN      
can          AUX       
move         VERB      
slower       ADV       
than         ADP       
other        ADJ       
domains      NOUN      
unless       SCONJ     
you          PRON      
have         VERB      
prior        ADJ       
experience   NOUN      
in           ADP       
a            DET       
similar      ADJ       
environment  NOUN      
.            PUNCT     

Named Entity Recognition:
One               CARDINAL

--------------------------------------------------

Tokenization and POS Tagging:
Job          PROPN     
security     NOUN      
is           AUX       
not          PART      
always       ADV       
a            DET       
certainty    NOUN      
given        VERB      
N26          PROPN     
's           PART      
poor         ADJ       
record       NOUN      
of           ADP       
compliance   NOUN      
and          CCONJ     
reputation   NOUN      
as           ADP       
an           DET       
organisation NOUN      
;            PUNCT     
also         ADV       
management   NOUN      
is           AUX       
very         ADV       
quick        ADJ       
to           PART      
fire         VERB      
people       NOUN      

Named Entity Recognition:
N26               ORG

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
sometimes    ADV       
top          VERB      
down         ADP       
decisions    NOUN      
/            SYM       
plannings    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
poor         ADJ       
management   NOUN      
and          CCONJ     
leadership   NOUN      
,            PUNCT     
no           DET       
focus        NOUN      
on           ADP       
retention    NOUN      
and          CCONJ     
internal     ADJ       
career       NOUN      
development  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
It           PRON      
's           AUX       
a            DET       
bank         NOUN      
.            PUNCT     
They         PRON      
will         AUX       
sell         VERB      
themselves   PRON      
as           ADP       
an           DET       
amazing      ADJ       
tech         NOUN      
company      NOUN      
,            PUNCT     
but          CCONJ     
inside       ADV       
it           PRON      
is           AUX       
a            DET       
bank         NOUN      
.            PUNCT     
-            PUNCT     
The          DET       
organization NOUN      
is           AUX       
designed     VERB      
without      ADP       
proper       ADJ       
incentives   NOUN      
and          CCONJ     
it           PRON      
is           AUX       
highly       ADV       
disfunctional ADJ       
.            PUNCT     
-            PUNCT     
High         ADJ       
turnover     NOUN      
rate         NOUN      
of           ADP       
top          ADJ       
management   NOUN      
and          CCONJ     
employees    NOUN      
.            PUNCT     
No           DET       
proper       ADJ       
policies     NOUN      
for          ADP       
retaining    VERB      
the          DET       
talents      NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Culture      NOUN      
is           AUX       
not          PART      
people       NOUN      
oriented     ADJ       
,            PUNCT     
leadership   NOUN      
expecta      VERB      
high         ADJ       
rotation     NOUN      
and          CCONJ     
investment   NOUN      
in           ADP       
retention    NOUN      
is           AUX       
low          ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
None         NOUN      
for          ADP       
a            DET       
big          ADJ       
startup      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
working      VERB      
culture      NOUN      
-            PUNCT     
salary       NOUN      
-            PUNCT     
leadership   NOUN      
team         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Very         ADV       
low          ADJ       
pay          NOUN      
and          CCONJ     
layoffs      NOUN      
when         SCONJ     
market       NOUN      
closed       VERB      

--------------------------------------------------

Tokenization and POS Tagging:
White        ADJ       
boys         NOUN      
club         NOUN      
story        NOUN      
is           AUX       
true         ADJ       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Solving      VERB      
new          ADJ       
issues       NOUN      
/            SYM       
problems     NOUN      
on           ADP       
a            DET       
daily        ADJ       
basis        NOUN      

Named Entity Recognition:
daily             DATE

--------------------------------------------------

Tokenization and POS Tagging:
I            PRON      
do           AUX       
n't          PART      
really       ADV       
have         VERB      
anything     PRON      
bad          ADJ       
to           PART      
say          VERB      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Many         ADJ       
tasks        NOUN      
to           PART      
do           VERB      
,            PUNCT     
working      VERB      
constantly   ADV       
under        ADP       
pressure     NOUN      
.            PUNCT     
Management   NOUN      
without      ADP       
soft         ADJ       
skills       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
chaos        NOUN      
and          CCONJ     
no           DET       
clear        ADJ       
vision       NOUN      
.            PUNCT     
-            PUNCT     
managers     NOUN      
have         VERB      
no           DET       
idea         NOUN      
how          SCONJ     
to           PART      
manage       VERB      
ICs          NOUN      
,            PUNCT     
whereas      SCONJ     
agile        ADJ       
coaches      NOUN      
are          AUX       
leading      VERB      
the          DET       
company      NOUN      
.            PUNCT     
-            PUNCT     
Average      ADJ       
compensations NOUN      
.            PUNCT     
-            PUNCT     
no           DET       
clear        ADJ       
guides       NOUN      
on           ADP       
how          SCONJ     
to           PART      
get          AUX       
promoted     VERB      

--------------------------------------------------

Tokenization and POS Tagging:
None         NOUN      
that         PRON      
come         VERB      
to           PART      
mind         VERB      

--------------------------------------------------

Tokenization and POS Tagging:
Senior       ADJ       
management   NOUN      
was          AUX       
a            DET       
bit          NOUN      
shaky        ADJ       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
A            PROPN     
's           PART      
hire         VERB      
A            PROPN     
's           PART      
,            PUNCT     
B            PROPN     
's           PART      
hire         NOUN      
C            PROPN     
's           PART      
.            PUNCT     
As           SCONJ     
the          DET       
company      NOUN      
went         VERB      
through      ADP       
hypergrowth  NOUN      
the          DET       
quality      NOUN      
of           ADP       
new          ADJ       
team         NOUN      
members      NOUN      
went         VERB      
off          ADP       
a            DET       
cliff        NOUN      
.            PUNCT     
Became       VERB      
commonplace  ADJ       
for          SCONJ     
a            DET       
meeting      NOUN      
to           PART      
have         VERB      
10           NUM       
+            SYM       
people       NOUN      
,            PUNCT     
none         NOUN      
of           ADP       
which        PRON      
could        AUX       
actually     ADV       
do           VERB      
anything     PRON      
or           CCONJ     
had          VERB      
decision     NOUN      
power        NOUN      
-            PUNCT     
Extremely    ADV       
volatile     ADJ       
c            ADJ       
-            PUNCT     
level        NOUN      
management   NOUN      
.            PUNCT     
Poor         ADJ       
strategic    ADJ       
product      NOUN      
understanding NOUN      

Named Entity Recognition:
B                 ORG
C                 ORG
10                CARDINAL

--------------------------------------------------

Tokenization and POS Tagging:
Salaries     NOUN      
used         VERB      
to           PART      
be           AUX       
a            DET       
bit          NOUN      
low          ADJ       
and          CCONJ     
it           PRON      
's           AUX       
a            DET       
founder      NOUN      
led          VERB      
company      NOUN      
implying     VERB      
that         SCONJ     
loads        NOUN      
of           ADP       
decisions    NOUN      
are          AUX       
taken        VERB      
by           ADP       
founders     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Terrible     ADJ       
management   NOUN      
and          CCONJ     
culture      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Unclear      ADJ       
personal     ADJ       
growth       NOUN      
path         NOUN      
Bonuses      NOUN      
and          CCONJ     
stocks       NOUN      
not          PART      
available    ADJ       
under        ADP       
senior       ADJ       
levels       NOUN      
*            PUNCT     
*            PUNCT     
under        ADP       
change       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Sometimes    ADV       
unstructured ADJ       
communication NOUN      
und          ADV       
collab       VERB      
in           ADP       
between      ADP       
teams        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Silos        NOUN      
communication NOUN      
between      ADP       
department   NOUN      
,            PUNCT     
fast         ADJ       
pace         NOUN      
(            PUNCT     
could        AUX       
also         ADV       
be           AUX       
a            DET       
pro          NOUN      
I            PRON      
guess        VERB      
)            PUNCT     
,            PUNCT     
turn         VERB      
over         ADP       
in           ADP       
higher       ADJ       
management   NOUN      
.            PUNCT     
Good         ADJ       
culture      NOUN      
and          CCONJ     
values       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
little       ADJ       
work         NOUN      
life         NOUN      
balance      NOUN      
,            PUNCT     
little       ADJ       
flexibility  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Not          PART      
great        ADJ       
with         ADP       
remote       ADJ       
work         NOUN      
Work         NOUN      
laptops      NOUN      
are          AUX       
all          PRON      
very         ADV       
limited      ADJ       
No           DET       
bonuses      NOUN      
Does         AUX       
nt           PART      
offer        VERB      
any          DET       
mental       ADJ       
health       NOUN      
support      NOUN      
,            PUNCT     
or           CCONJ     
any          DET       
incentives   NOUN      
to           PART      
stay         VERB      
(            PUNCT     
in           ADP       
comparison   NOUN      
to           ADP       
other        ADJ       
companies    NOUN      
)            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
not          PART      
enough       ADJ       
benefits     NOUN      
pay          NOUN      
could        AUX       
be           AUX       
higher       ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
Thieves      NOUN      
because      SCONJ     
they         PRON      
're          AUX       
not          PART      
subject      ADJ       
to           ADP       
the          DET       
central      ADJ       
bank         NOUN      
which        PRON      
is           AUX       
governed     VERB      
via          ADP       
a            DET       
country      NOUN      
rules        NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
work         NOUN      
is           AUX       
repetitive   ADJ       
and          CCONJ     
not          PART      
that         PRON      
motivating   VERB      

--------------------------------------------------

Tokenization and POS Tagging:
One          PRON      
has          VERB      
to           PART      
asked        VERB      
to           PART      
be           AUX       
mentored     VERB      
,            PUNCT     
sometimes    ADV       
a            DET       
little       ADJ       
bit          NOUN      
unstructured ADJ       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Nothing      PRON      
applicable   ADJ       
as           ADP       
of           ADP       
now          ADV       

--------------------------------------------------

Tokenization and POS Tagging:
Not          PART      
everything   PRON      
is           AUX       
so           ADV       
well         ADV       
planned      VERB      

--------------------------------------------------

Tokenization and POS Tagging:
growing      VERB      
enviroment   NOUN      
,            PUNCT     
therefore    ADV       
no           DET       
perfect      ADJ       
structure    NOUN      
spontaneous  ADJ       
tasks        NOUN      
,            PUNCT     
which        PRON      
can          AUX       
take         VERB      
long         ADV       

--------------------------------------------------

Tokenization and POS Tagging:
I            PRON      
have         AUX       
been         AUX       
working      VERB      
for          ADP       
N26          PROPN     
for          ADP       
almost       ADV       
9            NUM       
months       NOUN      
and          CCONJ     
I            PRON      
could        AUX       
n't          PART      
be           AUX       
happier      ADJ       
.            PUNCT     
I            PRON      
do           AUX       
not          PART      
have         VERB      
any          DET       
"            PUNCT     
con          NOUN      
"            PUNCT     
to           PART      
mention      VERB      
here         ADV       
.            PUNCT     

Named Entity Recognition:
almost 9 months   DATE

--------------------------------------------------

Tokenization and POS Tagging:
C            PROPN     
Level        PROPN     
could        AUX       
do           VERB      
better       ADV       
into         ADP       
earning      VERB      
employees    NOUN      
trusts       NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
I            PRON      
do           AUX       
not          PART      
remember     VERB      
any          DET       
kontras      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Leadership   NOUN      
,            PUNCT     
messy        ADJ       
priorities   NOUN      
and          CCONJ     
processes    NOUN      
to           PART      
be           AUX       
defined      VERB      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Managed      VERB      
terribly     ADV       
,            PUNCT     
serial       ADJ       
quitting     NOUN      
,            PUNCT     
impossible   ADJ       
to           PART      
get          VERB      
a            DET       
permanent    ADJ       
contract     NOUN      
in           ADP       
CS           PROPN     
.            PUNCT     
The          DET       
product      NOUN      
was          AUX       
riddled      VERB      
with         ADP       
issues       NOUN      
in           ADP       
2020         NUM       
that         PRON      
ca           AUX       
n't          PART      
have         AUX       
been         AUX       
solved       VERB      
by           ADP       
now          ADV       
.            PUNCT     

Named Entity Recognition:
CS                GPE
2020              DATE

--------------------------------------------------

Tokenization and POS Tagging:
You          PRON      
do           AUX       
n't          PART      
meet         VERB      
a            DET       
lot          NOUN      
of           ADP       
external     ADJ       
departments  NOUN      
in           ADP       
addition     NOUN      
to           ADP       
yours        PRON      
because      SCONJ     
N26          PROPN     
is           AUX       
made         VERB      
out          ADP       
of           ADP       
more         ADJ       
than         ADP       
800          NUM       
people       NOUN      
.            PUNCT     

Named Entity Recognition:
more than 800     CARDINAL

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Slow         ADJ       
process      NOUN      
to           PART      
do           AUX       
most         ADJ       
of           ADP       
the          DET       
things       NOUN      

            SPACE     
-            PUNCT     
Leadership   NOUN      
can          AUX       
change       VERB      
their        PRON      
decisions    NOUN      
quite        ADV       
fast         ADV       
sometimes    ADV       

--------------------------------------------------

Tokenization and POS Tagging:
1            X         
.            PUNCT     
Middle       ADJ       
management   NOUN      
/            SYM       
heads        NOUN      
of           ADP       
etc          X         
.            X         
are          AUX       
really       ADV       
problematic  ADJ       
.            PUNCT     
They         PRON      
are          AUX       
n’t          PART      
competent    ADJ       
or           CCONJ     
are          AUX       
simply       ADV       
lazy         ADJ       
.            PUNCT     
You          PRON      
’ll          AUX       
completely   ADV       
lift         VERB      
and          CCONJ     
drive        VERB      
an           DET       
entire       ADJ       
project      NOUN      
and          CCONJ     
they         PRON      
’ll          AUX       
still        ADV       
somehow      ADV       
try          VERB      
and          CCONJ     
steal        VERB      
credit       NOUN      
for          ADP       
it           PRON      
which        PRON      
I            PRON      
find         VERB      
very         ADV       
morally      ADV       
problematic  ADJ       
.            PUNCT     
Additionally ADV       
,            PUNCT     
they         PRON      
’re          VERB      
rude         ADJ       
and          CCONJ     
entitled     VERB      
.            PUNCT     
This         PRON      
is           AUX       
known        VERB      
by           ADP       
the          DET       
whole        ADJ       
department   NOUN      
though       ADV       
.            PUNCT     
They         PRON      
need         VERB      
a            DET       
huge         ADJ       
overhaul     NOUN      
of           ADP       
these        DET       
types        NOUN      
of           ADP       
people       NOUN      
and          CCONJ     
really       ADV       
get          VERB      
strong       ADJ       
leaders      NOUN      
with         ADP       
extensive    ADJ       
experience   NOUN      
in           ADP       
their        PRON      
subject      NOUN      
matter       NOUN      
.            PUNCT     
A            DET       
little       ADJ       
emotional    ADJ       
intelligence NOUN      
would        AUX       
n’t          PART      
hurt         VERB      
either       ADV       
.            PUNCT     
They         PRON      
’ve          AUX       
been         AUX       
here         ADV       
long         ADV       
enough       ADV       
,            PUNCT     
time         NOUN      
to           PART      
go           VERB      
.            PUNCT     

            SPACE     
2            X         
.            PUNCT     
The          DET       
workload     NOUN      
can          AUX       
be           AUX       
stressful    ADJ       
,            PUNCT     
work         NOUN      
life         NOUN      
balance      NOUN      
is           AUX       
not          PART      
a            DET       
value        NOUN      
touted       VERB      
in           ADP       
my           PRON      
department   NOUN      
at           ADV       
all          ADV       
.            PUNCT     

            SPACE     
3            X         
.            PUNCT     
Promotion    NOUN      
structure    NOUN      
is           AUX       
very         ADV       
messy        ADJ       
.            PUNCT     
Woco         PROPN     
has          AUX       
been         AUX       
trying       VERB      
to           PART      
change       VERB      
this         PRON      
I            PRON      
think        VERB      
,            PUNCT     
but          CCONJ     
I            PRON      
think        VERB      
promotions   NOUN      
are          AUX       
n’t          PART      
led          VERB      
by           ADP       
a            DET       
very         ADV       
organized    ADJ       
team         NOUN      
.            PUNCT     
A            DET       
lot          NOUN      
of           ADP       
information  NOUN      
around       ADP       
this         PRON      
is           AUX       
outdated     VERB      
on           ADP       
their        PRON      
internal     ADJ       
sites        NOUN      
and          CCONJ     
their        PRON      
solution     NOUN      
to           ADP       
this         PRON      
is           AUX       
2            NUM       
weeks        NOUN      
before       ADP       
a            DET       
cycle        NOUN      
to           PART      
have         VERB      
big          ADJ       
info         NOUN      
sessions     NOUN      
.            PUNCT     
People       NOUN      
care         VERB      
a            DET       
lot          NOUN      
about        ADP       
promotions   NOUN      
,            PUNCT     
the          DET       
people       NOUN      
team         NOUN      
should       AUX       
at           ADP       
least        ADJ       
act          VERB      
they         PRON      
do           VERB      
too          ADV       
.            PUNCT     

Named Entity Recognition:
1                 CARDINAL
2                 CARDINAL
3                 CARDINAL
2 weeks           DATE

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Management   PROPN     
leaves       VERB      
a            DET       
lot          NOUN      
to           PART      
be           AUX       
desired      VERB      
for          ADP       

            SPACE     
-            PUNCT     
Backstabbery PROPN     

            SPACE     
-            PUNCT     
Middle       ADJ       
/            SYM       
upper        ADJ       
management   NOUN      
engage       VERB      
in           ADP       
petty        ADJ       
politics     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Like         ADP       
all          DET       
other        ADJ       
companies    NOUN      
in           ADP       
the          DET       
planet       NOUN      
,            PUNCT     
there        PRON      
is           VERB      
always       ADV       
issues       NOUN      
.            PUNCT     
In           ADP       
a            DET       
regulated    ADJ       
bank         NOUN      
,            PUNCT     
expect       VERB      
to           PART      
have         VERB      
to           PART      
do           VERB      
boring       ADJ       
stuff        NOUN      
a            DET       
lot          NOUN      
.            PUNCT     
But          CCONJ     
the          DET       
balance      NOUN      
is           AUX       
acceptable   ADJ       
.            PUNCT     
But          CCONJ     
do           AUX       
n’t          PART      
expect       VERB      
it           PRON      
to           PART      
be           AUX       
a            DET       
startup      NOUN      
.            PUNCT     
It           PRON      
is           AUX       
past         ADP       
that         DET       
stage        NOUN      
for          ADP       
ages         NOUN      
.            PUNCT     
It           PRON      
’s           VERB      
a            DET       
big          ADJ       
co.          NOUN      
Now          INTJ      
so           ADV       
you          PRON      
do           AUX       
know         VERB      
what         PRON      
you          PRON      
are          AUX       
signing      VERB      
up           ADP       
for          ADP       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
sometimes    ADV       
toxic        ADJ       
culture      NOUN      
,            PUNCT     
especially   ADV       
management   NOUN      
and          CCONJ     
founders     NOUN      
do           AUX       
n't          PART      
even         ADV       
say          VERB      
hello        PROPN     

--------------------------------------------------

Tokenization and POS Tagging:
Maybe        ADV       
sometimes    ADV       
it           PRON      
is           AUX       
hard         ADJ       
to           PART      
find         VERB      
other        ADJ       
positions    NOUN      
in           ADP       
other        ADJ       
departments  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
unstructured ADJ       
processes    NOUN      

            SPACE     
-            PUNCT     
high         ADJ       
employee     NOUN      
turnover     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Poor         ADJ       
processes    NOUN      
handling     NOUN      
,            PUNCT     
difficult    ADJ       
company      NOUN      
culture      NOUN      
,            PUNCT     
people       NOUN      
leaving      VERB      
all          DET       
the          DET       
time         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
There        PRON      
are          VERB      
no           DET       
cons         NOUN      
here         ADV       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Leadership   PROPN     
has          VERB      
some         DET       
hiccups      NOUN      
regarding    VERB      
transparency NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
no           DET       
bonuses      NOUN      

            SPACE     
not          PART      
allowed      VERB      
to           PART      
work         VERB      
from         ADP       
another      DET       
country      NOUN      
like         ADP       
many         ADJ       
other        ADJ       
companies    NOUN      
offer        VERB      

--------------------------------------------------

Tokenization and POS Tagging:
It           PRON      
’s           AUX       
growing      VERB      
fast         ADV       
,            PUNCT     
maybe        ADV       
too          ADV       
fast         ADJ       
for          ADP       
their        PRON      
own          ADJ       
good         NOUN      
.            PUNCT     
Quite        ADV       
messy        ADJ       
when         SCONJ     
it           PRON      
comes        VERB      
to           ADP       
roles        NOUN      
,            PUNCT     
task         NOUN      
,            PUNCT     
etc          X         
.            X         
it           PRON      
really       ADV       
depends      VERB      
on           ADP       
you          PRON      
Manager      PROPN     
if           SCONJ     
your         PRON      
team         NOUN      
has          VERB      
a            DET       
clear        ADJ       
objective    NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
1            X         
.            PUNCT     
Understaffed ADJ       
teams        NOUN      

            SPACE     
2            NUM       
.            PUNCT     
Major        ADJ       
setbacks     NOUN      
from         ADP       
lay          NOUN      
-            PUNCT     
offs         NOUN      

            SPACE     
3            NUM       
.            PUNCT     
Unclear      PROPN     
ESPO         PROPN     
policy       NOUN      

            SPACE     
4            NUM       
.            PUNCT     
You          PRON      
may          AUX       
spend        VERB      
more         ADJ       
time         NOUN      
on           ADP       
probation    NOUN      
that         SCONJ     
you          PRON      
imagine      VERB      

Named Entity Recognition:
1                 CARDINAL
Understaffed      PRODUCT
2                 CARDINAL
3                 CARDINAL
4                 CARDINAL

--------------------------------------------------

Tokenization and POS Tagging:
Too          ADV       
Frequent     ADJ       
changes      NOUN      
in           ADP       
leadership   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Extra        ADJ       
hours        NOUN      
,            PUNCT     
unstable     ADJ       
and          CCONJ     
incoherent   ADJ       
invoriment   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Not          PART      
seeing       VERB      
any          DET       
cons         NOUN      
here         ADV       

--------------------------------------------------

Tokenization and POS Tagging:
Fighting     VERB      
with         ADP       
regulatory   ADJ       
aspects      NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
There        PRON      
are          VERB      
many         ADJ       
growing      VERB      
pains        NOUN      
still        ADV       
and          CCONJ     
more         ADV       
senior       ADJ       
people       NOUN      
with         ADP       
diverse      ADJ       
backgrounds  NOUN      
/            SYM       
experience   NOUN      
need         VERB      
to           PART      
be           AUX       
pulled       VERB      
in           ADP       
to           PART      
drive        VERB      
this         DET       
organisation NOUN      

            SPACE     
Cross        ADJ       
-            ADJ       
functional   ADJ       
support      NOUN      
/            SYM       
ownership    NOUN      
is           AUX       
n't          PART      
organised    VERB      
well         ADV       
and          CCONJ     
you          PRON      
'll          AUX       
often        ADV       
be           AUX       
passed       VERB      
along        ADP       
to           ADP       
someone      PRON      
else         ADV       
to           ADP       
no           DET       
avail        NOUN      

            SPACE     
Does         AUX       
n't          PART      
really       ADV       
feel         VERB      
like         SCONJ     
the          DET       
founders     NOUN      
care         VERB      
that         SCONJ     
much         ADV       
about        ADP       
employees    NOUN      
(            PUNCT     
they         PRON      
lack         VERB      
empathy      ADJ       
signalling   VERB      
)            PUNCT     

Named Entity Recognition:
Cross             ORG

--------------------------------------------------

Tokenization and POS Tagging:
For          ADP       
now          ADV       
,            PUNCT     
there        PRON      
are          VERB      
many         ADJ       
people       NOUN      
leaving      VERB      
the          DET       
company      NOUN      
and          CCONJ     
I            PRON      
believe      VERB      
that         SCONJ     
interin      NOUN      
positions    NOUN      
are          AUX       
not          PART      
the          DET       
answer       NOUN      
for          ADP       
Turn         PROPN     
Over         ADP       

--------------------------------------------------

Tokenization and POS Tagging:
crazy        ADJ       
politics     NOUN      
and          CCONJ     
unfair       ADJ       
practices    NOUN      

            SPACE     
nepotism     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Not          PART      
very         ADV       
competitive  ADJ       
salaries     NOUN      
and          CCONJ     
career       NOUN      
,            PUNCT     
not          PART      
very         ADV       
good         ADJ       
retention    NOUN      
program      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
lack         NOUN      
of           ADP       
consistency  NOUN      
in           ADP       
management   NOUN      
decisions    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Seemed       VERB      
chaotic/     PROPN     
was          AUX       
n't          PART      
much         ADJ       
training     NOUN      
at           ADP       
all          ADV       
for          ADP       
new          ADJ       
interns      NOUN      
.            PUNCT     
Would        AUX       
hope         VERB      
that         SCONJ     
by           ADP       
now          ADV       
there        PRON      
is           VERB      
a            DET       
more         ADV       
systematic   ADJ       
training     NOUN      
program      NOUN      
in           ADP       
place        NOUN      
for          ADP       
new          ADJ       
employees    NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Work         NOUN      
life         NOUN      
balance      NOUN      
is           AUX       
not          PART      
great        ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
principal    ADJ       
engineers    NOUN      
are          AUX       
absolutely   ADV       
the          DET       
worst        ADJ       
engineers    NOUN      
in           ADP       
the          DET       
whole        ADJ       
company      NOUN      
.            PUNCT     


           SPACE     
Nobody       PRON      
knows        VERB      
how          SCONJ     
they         PRON      
’ve          AUX       
been         AUX       
promoted     VERB      
,            PUNCT     
they         PRON      
were         AUX       
previously   ADV       
very         ADV       
toxic        ADJ       
and          CCONJ     
incompetent  ADJ       
tech         NOUN      
lesds        NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Only         ADV       
possible     ADJ       
work         NOUN      
from         ADP       
office       NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
It           PRON      
can          AUX       
be           AUX       
chaotic      ADJ       
sometimes    ADV       
.            PUNCT     

            SPACE     
Miscommunication PROPN     
can          AUX       
happen       VERB      
,            PUNCT     
you          PRON      
have         VERB      
to           PART      
just         ADV       
stay         VERB      
on           ADP       
top          NOUN      
of           ADP       
things       NOUN      
and          CCONJ     
double       ADJ       
check        NOUN      
.            PUNCT     

            SPACE     
You          PRON      
have         VERB      
to           PART      
love         VERB      
this         DET       
fast         ADV       
paced        VERB      
environment  NOUN      
,            PUNCT     
as           SCONJ     
it           PRON      
can          AUX       
be           AUX       
challenging  VERB      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
only         ADJ       
Cons         PROPN     
where        SCONJ     
more         ADV       
due          ADJ       
to           ADP       
the          DET       
pandemic     ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
the          DET       
salary       NOUN      
is           AUX       
low          ADJ       

            SPACE     
they         PRON      
are          AUX       
not          PART      
hands        NOUN      
-            PUNCT     
on           ADP       

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
company      NOUN      
is           AUX       
very         ADV       
fast         ADJ       
changing     VERB      
,            PUNCT     
so           ADV       
you          PRON      
need         VERB      
to           PART      
be           AUX       
prepared     ADJ       
to           PART      
follow       VERB      
and          CCONJ     
adapt        VERB      
to           ADP       
it           PRON      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
You          PRON      
need         VERB      
to           PART      
be           AUX       
able         ADJ       
to           PART      
find         VERB      
your         PRON      
way          NOUN      
in           ADP       
a            DET       
fast         ADV       
-            PUNCT     
paced        ADJ       
and          CCONJ     
fast         ADV       
-            PUNCT     
changing     VERB      
environment  NOUN      
.            PUNCT     


           SPACE     
-            PUNCT     
A            DET       
lot          NOUN      
of           ADP       
work         NOUN      
to           PART      
answer       VERB      
ongoing      ADJ       
challenges   NOUN      
for          ADP       
neobanks     NOUN      
and          CCONJ     
fintech      NOUN      
companies    NOUN      
(            PUNCT     
compensated  VERB      
by           ADP       
great        ADJ       
opportunities NOUN      
to           PART      
learn        VERB      
,            PUNCT     
great        ADJ       
colleagues   NOUN      
and          CCONJ     
good         ADJ       
remuneration NOUN      
packages     NOUN      
)            PUNCT     
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Nothing      PRON      
bad          ADJ       
to           PART      
say          VERB      
,            PUNCT     
I            PRON      
like         VERB      
to           PART      
be           AUX       
here         ADV       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
More         ADJ       
pressure     NOUN      
in           ADP       
terms        NOUN      
of           ADP       
work         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Confusing    ADJ       
communication NOUN      
from         ADP       
leadership   NOUN      
.            PUNCT     
They         PRON      
really       ADV       
need         VERB      
to           PART      
have         VERB      
more         ADJ       
realist      ADJ       
goals        NOUN      
instead      ADV       
of           ADP       
putting      VERB      
their        PRON      
teams        NOUN      
under        ADP       
a            DET       
huge         ADJ       
presure      NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Lacking      VERB      
overall      ADJ       
team         NOUN      
spirit       NOUN      

            SPACE     
Little       ADJ       
to           ADP       
no           DET       
contact      NOUN      
with         ADP       
management   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Intransparent ADJ       
leadership   NOUN      

            SPACE     
-            PUNCT     
Lack         NOUN      
of           ADP       
focus        NOUN      
and          CCONJ     
strategy     NOUN      

            SPACE     
-            PUNCT     
No           PRON      
career       NOUN      
development  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Chaotic      ADJ       
nature       NOUN      
,            PUNCT     
incentivization NOUN      
and          CCONJ     
reward       NOUN      
wildly       ADV       
differ       VERB      
,            PUNCT     
big          ADJ       
cultural     ADJ       
shifts       NOUN      
ongoing      ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
Some         DET       
processes    NOUN      
are          AUX       
still        ADV       
quite        ADV       
chaotic      ADJ       
and          CCONJ     
needs        VERB      
improvement  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
diluted      ADJ       
culture      NOUN      

            SPACE     
intransparent ADJ       
performance  NOUN      
reviews      NOUN      

            SPACE     
ESOP         PROPN     
package      NOUN      

Named Entity Recognition:
ESOP              ORG

--------------------------------------------------

Tokenization and POS Tagging:
Quite        DET       
a            DET       
fast         ADV       
-            PUNCT     
paced        VERB      
work         NOUN      
environment  NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
In           ADP       
completely   ADV       
disarray     NOUN      
since        SCONJ     
the          DET       
hypergrowth  NOUN      
,            PUNCT     
common       ADJ       
to           PART      
have         VERB      
issues       NOUN      
with         ADP       
ownership    NOUN      
and          CCONJ     
planning     NOUN      
.            PUNCT     

            SPACE     
C            NOUN      
level        NOUN      
not          PART      
in           ADP       
touch        NOUN      
with         ADP       
the          DET       
engineering  NOUN      
department   NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Poor         ADJ       
mgmt         NOUN      
and          CCONJ     
C            NOUN      
-            PUNCT     
Level        NOUN      

            SPACE     
Bad          ADJ       
salary       NOUN      
conditions   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Very         ADV       
poor         ADJ       
work         NOUN      
culture      NOUN      
,            PUNCT     
poor         ADJ       
communication NOUN      
from         ADP       
senior       ADJ       
management   NOUN      
,            PUNCT     
too          ADV       
much         ADJ       
politics     NOUN      
and          CCONJ     
silo         NOUN      
-            PUNCT     
ed           NOUN      
work         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
bad          ADJ       
management   NOUN      
everyone     PRON      
was          AUX       
expendable   ADJ       
and          CCONJ     
happily      ADV       
rotate       VERB      
staff        NOUN      
bad          ADJ       
at           ADP       
keeping      VERB      
moral        ADJ       

--------------------------------------------------

Tokenization and POS Tagging:
Maybe        ADV       
the          DET       
tasks        NOUN      
can          AUX       
be           AUX       
scheduled    VERB      
better       ADV       

--------------------------------------------------

Tokenization and POS Tagging:
Some         PRON      
depending    VERB      
on           ADP       
the          DET       
position     NOUN      
and          CCONJ     
department   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
It           PRON      
might        AUX       
be           AUX       
chaotic      ADJ       
sometimes    ADV       
and          CCONJ     
not          PART      
everyone     PRON      
is           AUX       
able         ADJ       
to           PART      
deal         VERB      
with         ADP       
it           PRON      
.            PUNCT     

            SPACE     
I            PRON      
personally   ADV       
love         VERB      
it           PRON      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Founders     NOUN      
should       AUX       
trust        VERB      
their        PRON      
management   NOUN      
team         NOUN      
and          CCONJ     
be           AUX       
less         ADJ       
hands        NOUN      
-            PUNCT     
on           NOUN      
and          CCONJ     
top          NOUN      
-            PUNCT     
down         NOUN      
.            PUNCT     

            SPACE     
The          DET       
company      NOUN      
approach     VERB      
to           ADP       
remote       ADJ       
work         NOUN      
after        SCONJ     
covid        NOUN      
is           AUX       
absurd       ADJ       
,            PUNCT     
the          DET       
teams        NOUN      
are          AUX       
super        ADV       
productive   ADJ       
while        SCONJ     
working      VERB      
remotely     ADV       
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Lack         NOUN      
of           ADP       
growth       NOUN      
opportunities NOUN      

            SPACE     
-            PUNCT     
Long         ADJ       
-            PUNCT     
term         NOUN      
employees    NOUN      
are          AUX       
not          PART      
valued       VERB      

            SPACE     
-            PUNCT     
Low          PROPN     
salaries     NOUN      
compared     VERB      
to           ADP       
what         PRON      
the          DET       
market       NOUN      
pays         VERB      

--------------------------------------------------

Tokenization and POS Tagging:
Ca           AUX       
n't          PART      
think        VERB      
of           ADP       
anything     PRON      
so           ADV       
far          ADV       

--------------------------------------------------

Tokenization and POS Tagging:
Too          ADV       
many         ADJ       
changes      NOUN      
.            PUNCT     
Lack         NOUN      
of           ADP       
management   NOUN      
or           CCONJ     
fair         ADJ       
assesment    NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
*            PUNCT     
Many         ADJ       
big          ADJ       
shifts       NOUN      
in           ADP       
priority     NOUN      
in           ADP       
the          DET       
past         NOUN      

            SPACE     
*            PUNCT     
I            PRON      
hope         VERB      
we           PRON      
wo           AUX       
n't          PART      
repeat       VERB      
the          DET       
issues       NOUN      
of           ADP       
the          DET       
past         NOUN      
with         ADP       
hypergrowth  NOUN      
.            PUNCT     
At           ADP       
least        ADJ       
onboarding   VERB      
is           AUX       
definitely   ADV       
getting      VERB      
better       ADJ       
with         ADP       
time         NOUN      

Named Entity Recognition:
hypergrowth       LANGUAGE

--------------------------------------------------

Tokenization and POS Tagging:
High         ADJ       
turnover     NOUN      
across       ADP       
the          DET       
company      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-Bad         PUNCT     
management   NOUN      

            SPACE     
-Too         PUNCT     
many         ADJ       
changes      NOUN      
in           ADP       
hierarchy    NOUN      

            SPACE     
-Confusing   VERB      
responsibilities NOUN      
and          CCONJ     
way          NOUN      
of           ADP       
working      NOUN      

            SPACE     
-Projects    NOUN      
run          VERB      
too          ADV       
slow         ADJ       
because      SCONJ     
of           ADP       
too          ADV       
much         ADJ       
stakeholders NOUN      
involvements NOUN      

            SPACE     
-Lack        NOUN      
of           ADP       
passion      NOUN      
within       ADP       
teams        NOUN      

            SPACE     
-Average     ADJ       
salary       NOUN      

            SPACE     
-ESOPs       NOUN      
instead      ADV       
of           ADP       
salary       NOUN      
increase     NOUN      

            SPACE     
-too         PUNCT     
many         ADJ       
office       NOUN      
changes      NOUN      

            SPACE     
-too         PUNCT     
many         ADJ       
team         NOUN      
changes      NOUN      
,            PUNCT     
hiring       NOUN      
and          CCONJ     
resigns      VERB      
(            PUNCT     
or           CCONJ     
firing       VERB      
)            PUNCT     

            SPACE     
-management  PROPN     
is           AUX       
inexperienced ADJ       

            SPACE     
-Depending   VERB      
too          ADV       
much         ADV       
on           ADP       
external     ADJ       
SaaS         ADJ       
tools        NOUN      

Named Entity Recognition:
SaaS              PRODUCT

--------------------------------------------------

Tokenization and POS Tagging:
Temporary    ADJ       
contracts    NOUN      
,            PUNCT     
high         ADJ       
staff        NOUN      
turnover     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
main         ADJ       
issues       NOUN      
at           ADP       
N26          PROPN     
are          AUX       
imho         ADJ       
from         ADP       
the          DET       
upper        ADJ       
management   NOUN      
.            PUNCT     
The          DET       
direction    NOUN      
of           ADP       
the          DET       
company      NOUN      
is           AUX       
very         ADV       
much         ADV       
top          NOUN      
-            PUNCT     
down         NOUN      
and          CCONJ     
-though      PUNCT     
they         PRON      
have         AUX       
been         AUX       
trying       VERB      
to           PART      
change       VERB      
that-        SCONJ     
the          DET       
individual   ADJ       
teams        NOUN      
/            SYM       
segments     NOUN      
have         VERB      
not          PART      
enough       ADJ       
ownership    NOUN      
to           PART      
drive        VERB      
the          DET       
initiatives  NOUN      
that         PRON      
they         PRON      
believe      VERB      
would        AUX       
have         VERB      
the          DET       
most         ADJ       
impact       NOUN      
.            PUNCT     
As           ADP       
a            DET       
result       NOUN      
,            PUNCT     
processes    NOUN      
become       VERB      
sluggish     ADJ       
,            PUNCT     
people       NOUN      
sometimes    ADV       
become       VERB      
less         ADV       
motivated    ADJ       
because      SCONJ     
to           PART      
achieve      VERB      
anything     PRON      
you          PRON      
need         VERB      
to           PART      
go           VERB      
through      ADP       
endless      ADJ       
loops        NOUN      
.            PUNCT     

            SPACE     
Furthermore  ADV       
the          DET       
employees    NOUN      
have         VERB      
little       ADJ       
trust        NOUN      
of           ADP       
the          DET       
leadership   NOUN      
team         NOUN      
.            PUNCT     
From         ADP       
my           PRON      
experience   NOUN      
,            PUNCT     
after        ADP       
a            DET       
while        NOUN      
I            PRON      
stop         VERB      
caring       VERB      
on           ADP       
what         PRON      
the          DET       
leadership   NOUN      
was          AUX       
saying       VERB      
and          CCONJ     
focused      VERB      
on           ADP       
my           PRON      
work         NOUN      
and          CCONJ     
team         NOUN      
(            PUNCT     
which        PRON      
was          AUX       
great        ADJ       
)            PUNCT     
.            PUNCT     
There        PRON      
's           VERB      
no           DET       
point        NOUN      
watching     VERB      
the          DET       
founders     NOUN      
Q&A          PROPN     
sessions     NOUN      
if           SCONJ     
all          PRON      
you          PRON      
get          VERB      
out          ADP       
of           ADP       
it           PRON      
is           AUX       
inconclusive ADJ       
,            PUNCT     
ready        ADJ       
-            PUNCT     
made         VERB      
answers      NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
nightmares   NOUN      
,            PUNCT     
bullying     NOUN      
,            PUNCT     
nepotism     NOUN      
,            PUNCT     
politics     NOUN      
,            PUNCT     
egos         NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
low          ADJ       
pay          NOUN      
and          CCONJ     
no           DET       
transparency NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
no           DET       
bonuses      NOUN      
(            PUNCT     
even         ADV       
if           SCONJ     
we           PRON      
meet         VERB      
targets      NOUN      
)            PUNCT     

            SPACE     
a            DET       
lot          NOUN      
of           ADP       
information  NOUN      
to           PART      
assimilate   VERB      
and          CCONJ     
not          PART      
enough       ADJ       
time         NOUN      
given        VERB      
to           PART      
do           VERB      
so           ADV       

            SPACE     
procedures   NOUN      
are          AUX       
not          PART      
always       ADV       
easy         ADJ       
to           PART      
find         VERB      

--------------------------------------------------

Tokenization and POS Tagging:
No           DET       
transparency NOUN      
when         SCONJ     
it           PRON      
comes        VERB      
to           ADP       
promotions   NOUN      
,            PUNCT     
contract     NOUN      
renewals     NOUN      
and          CCONJ     
sacked       VERB      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Nothing      PRON      
to           PART      
report       VERB      
for          ADP       
now          ADV       

--------------------------------------------------

Tokenization and POS Tagging:
Aggressive   PROPN     
Culture      PROPN     
,            PUNCT     
no           DET       
direction    NOUN      
,            PUNCT     
young        ADJ       
leadership   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
culture      NOUN      
modelled     VERB      
by           ADP       
founders     NOUN      
is           AUX       
"            PUNCT     
success      NOUN      
only         ADV       
"            PUNCT     
,            PUNCT     
low          ADJ       
transparency NOUN      
/            SYM       
empathy      ADJ       

            SPACE     
-            PUNCT     
product      NOUN      
focus        NOUN      
is           AUX       
missing      VERB      
,            PUNCT     
investments  NOUN      
across       ADP       
many         ADJ       
directions   NOUN      
(            PUNCT     
rather       ADV       
than         ADP       
focussed     VERB      
)            PUNCT     

            SPACE     
-            PUNCT     
mass         NOUN      
exodus       NOUN      
of           ADP       
staff        NOUN      
that         PRON      
repeats      VERB      
every        DET       
2            NUM       
years        NOUN      

Named Entity Recognition:
every 2 years     DATE

--------------------------------------------------

Tokenization and POS Tagging:
Founders     NOUN      
are          AUX       
a            DET       
bit          NOUN      
conservative ADJ       
regarding    VERB      
remote       ADJ       
work         NOUN      
.            PUNCT     

            SPACE     
I            PRON      
found        VERB      
it           PRON      
a            DET       
bit          NOUN      
unorganized  ADJ       
,            PUNCT     
specially    ADV       
on           ADP       
communication NOUN      
between      ADP       
different    ADJ       
teams        NOUN      
,            PUNCT     
a            DET       
downside     NOUN      
of           ADP       
having       VERB      
microservices NOUN      
architecture NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
No           DET       
work         NOUN      
life         NOUN      
balance      NOUN      
,            PUNCT     
minimal      ADJ       
development  NOUN      
options      NOUN      
,            PUNCT     
overpaid     VERB      
team         NOUN      
leads        VERB      
,            PUNCT     
pointless    ADJ       
performance  NOUN      
meetings     NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Huge         ADJ       
staff        NOUN      
turnover     NOUN      
,            PUNCT     
lack         NOUN      
of           ADP       
leadership   NOUN      
almost       ADV       
everywhere   ADV       
,            PUNCT     
terrible     ADJ       
communication NOUN      
from         ADP       
management   NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
The          DET       
Founders     NOUN      
are          AUX       
a            DET       
boy          NOUN      
club         NOUN      
of           ADP       
Austrians    PROPN     
that         PRON      
only         ADV       
care         VERB      
about        ADP       
the          DET       
money        NOUN      
they         PRON      
will         AUX       
make         VERB      
when         SCONJ     
the          DET       
company      NOUN      
has          VERB      
an           DET       
IPO          PROPN     
and          CCONJ     
could        AUX       
care         VERB      
less         ADJ       
about        ADP       
the          DET       
employees    NOUN      
.            PUNCT     
People       NOUN      
leave        VERB      
so           ADV       
fast         ADV       
that         SCONJ     
no           DET       
one          NOUN      
even         ADV       
knows        VERB      
who          PRON      
works        VERB      
there        ADV       
anymore      ADV       
.            PUNCT     
It           PRON      
is           AUX       
ship         NOUN      
that         PRON      
is           AUX       
sinking      VERB      
so           ADV       
fast         ADV       
!            PUNCT     
!            PUNCT     
!            PUNCT     
What         PRON      
a            DET       
shame        NOUN      
.            PUNCT     

Named Entity Recognition:
Austrians         NORP
IPO               ORG

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Main         ADJ       
offices      NOUN      
are          AUX       
located      VERB      
in           ADP       
Berlin       PROPN     

            SPACE     
-            PUNCT     
Career       NOUN      
path         NOUN      
not          PART      
very         ADV       
well         ADV       
defined      VERB      
in           ADP       
most         ADJ       
teams        NOUN      

            SPACE     
-            PUNCT     
Often        ADV       
contracts    NOUN      
do           AUX       
not          PART      
get          AUX       
renewed      VERB      

            SPACE     
-            PUNCT     
Most         ADJ       
managers     NOUN      
lack         VERB      
proper       ADJ       
managerial   ADJ       
skills       NOUN      

            SPACE     
-            PUNCT     
Team         PROPN     
culture      NOUN      
differs      VERB      
vastly       ADV       
from         ADP       
one          NUM       
team         NOUN      
to           ADP       
another      PRON      

Named Entity Recognition:
Berlin            GPE
one               CARDINAL

--------------------------------------------------

Tokenization and POS Tagging:
Management   NOUN      
communication NOUN      
,            PUNCT     
interaction  NOUN      
between      ADP       
departments  NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
CEO          NOUN      
is           AUX       
such         DET       
a            DET       
baby         NOUN      
,            PUNCT     
everyone     PRON      
working      VERB      
with         ADP       
him          PRON      
ends         VERB      
up           ADP       
quitting     VERB      
.            PUNCT     

            SPACE     
Domino       PROPN     
's           PART      
effect       NOUN      
,            PUNCT     
so           ADV       
many         ADJ       
people       NOUN      
are          AUX       
leaving      VERB      
,            PUNCT     
creating     VERB      
even         ADV       
more         ADJ       
chaos        NOUN      
.            PUNCT     

Named Entity Recognition:
Domino            ORG

--------------------------------------------------

Tokenization and POS Tagging:
Constantly   ADV       
taking       VERB      
2            NUM       
-            SYM       
3live        NUM       
chats        NOUN      
simultaneously ADV       
for          ADP       
up           ADP       
to           PART      
7            NUM       
hours        NOUN      
per          ADP       
day          NOUN      
.            PUNCT     


           SPACE     
All          PRON      
of           ADP       
the          DET       
benefits     NOUN      
we           PRON      
were         AUX       
promised     VERB      
were         AUX       
taken        VERB      
away         ADP       


           SPACE     
Customer     NOUN      
service      NOUN      
are          AUX       
treated      VERB      
like         ADP       
2nd          ADJ       
class        NOUN      
citizens     NOUN      
in           ADP       
the          DET       
company      NOUN      
.            PUNCT     


           SPACE     
Constantly   ADV       
changing     VERB      
processes    NOUN      


           SPACE     
False        ADJ       
promises     NOUN      

Named Entity Recognition:
2                 CARDINAL
up to 7 hours     TIME
2nd               ORDINAL

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Co           NOUN      
-            NOUN      
founders     NOUN      
do           AUX       
n't          PART      
trust        VERB      
the          DET       
seasoned     VERB      
executives   NOUN      
they         PRON      
bring        VERB      
in           ADP       
to           PART      
do           VERB      
what         PRON      
they         PRON      
are          AUX       
there        ADV       
to           PART      
do           VERB      

            SPACE     
-            PUNCT     
Lack         NOUN      
of           ADP       
willingness  NOUN      
to           PART      
make         VERB      
hard         ADJ       
decisions    NOUN      
about        ADP       
priorities   NOUN      
,            PUNCT     
or           CCONJ     
delegate     NOUN      
decision     NOUN      
making       NOUN      
beyond       ADP       
the          DET       
"            PUNCT     
inner        ADJ       
circle       NOUN      
"            PUNCT     
of           ADP       
top          ADJ       
management   NOUN      
that         PRON      
has          AUX       
been         AUX       
there        ADV       
from         ADP       
the          DET       
start        NOUN      

            SPACE     
-            PUNCT     
That         SCONJ     
"            PUNCT     
inner        ADJ       
circle       NOUN      
"            PUNCT     
is           AUX       
completely   ADV       
out          ADP       
of           ADP       
touch        NOUN      
with         ADP       
what         PRON      
it           PRON      
means        VERB      
to           PART      
be           AUX       
one          NUM       
of           ADP       
their        PRON      
employees    NOUN      
and          CCONJ     
have         VERB      
zero         NUM       
empathy      NOUN      
for          ADP       
how          SCONJ     
their        PRON      
decisions    NOUN      
impact       VERB      
the          DET       
lives        NOUN      
of           ADP       
their        PRON      
employees    NOUN      
,            PUNCT     
or           CCONJ     
the          DET       
product      NOUN      
negatively   ADV       

            SPACE     
-            PUNCT     
The          DET       
only         ADJ       
way          NOUN      
to           PART      
get          VERB      
something    PRON      
done         VERB      
is           AUX       
to           PART      
play         VERB      
massive      ADJ       
political    ADJ       
games        NOUN      

            SPACE     
-            PUNCT     
Logic        NOUN      
almost       ADV       
never        ADV       
wins         VERB      
out          ADP       

Named Entity Recognition:
zero              CARDINAL

--------------------------------------------------

Tokenization and POS Tagging:
Founders     NOUN      
do           AUX       
n't          PART      
trust        VERB      
their        PRON      
team         NOUN      

            SPACE     
Marketing    PROPN     
leaders      NOUN      
always       ADV       
changing     VERB      

            SPACE     
Founders     NOUN      
only         ADV       
promote      VERB      
their        PRON      
friends      NOUN      

            SPACE     
Product      PROPN     
does         AUX       
not          PART      
innovate     VERB      

            SPACE     
All          PRON      
talk         NOUN      
,            PUNCT     
no           DET       
action       NOUN      
.            PUNCT     
Marketing    NOUN      
leaders      NOUN      
pretend      VERB      
to           PART      
be           AUX       
nice         ADJ       
.            PUNCT     
It           PRON      
’s           VERB      
all          PRON      
lip          NOUN      
-            PUNCT     
service      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Messy        NOUN      
organisation NOUN      
at           ADP       
the          DET       
time         NOUN      
I            PRON      
was          AUX       
there        ADV       
-            PUNCT     
roles        NOUN      
and          CCONJ     
goals        NOUN      
of           ADP       
teams        NOUN      
were         AUX       
changing     VERB      
all          DET       
the          DET       
time         NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
It           PRON      
can          AUX       
be           AUX       
chaotic      ADJ       
but          CCONJ     
part         NOUN      
of           ADP       
a            DET       
growing      VERB      
company      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
Leadership   NOUN      
in           ADP       
HR           PROPN     
are          AUX       
extremely    ADV       
under        ADP       
qualified    ADJ       
,            PUNCT     
which        PRON      
leads        VERB      
to           ADP       
insecurities NOUN      
and          CCONJ     
rewarding    VERB      
/            SYM       
hiring       VERB      
only         ADV       
those        PRON      
who          PRON      
make         VERB      
them         PRON      
look         VERB      
good         ADJ       
.            PUNCT     
Looking      VERB      
good         ADJ       
is           AUX       
really       ADV       
the          DET       
only         ADJ       
thing        NOUN      
that         PRON      
matters      VERB      
,            PUNCT     
you          PRON      
can          AUX       
get          VERB      
away         ADV       
with         ADP       
a            DET       
lot          NOUN      
by           ADP       
complimenting VERB      
management   NOUN      
in           ADP       
public       ADJ       
settings     NOUN      
and          CCONJ     
patting      VERB      
each         DET       
other        ADJ       
on           ADP       
the          DET       
back         NOUN      
for          ADP       
projects     NOUN      
that         PRON      
are          AUX       
designed     VERB      
only         ADV       
to           PART      
make         VERB      
management   NOUN      
look         VERB      
good         ADJ       
(            PUNCT     
no           DET       
practical    ADJ       
value        NOUN      
added        VERB      
)            PUNCT     
.            PUNCT     
Most         ADJ       
of           ADP       
the          DET       
competent    ADJ       
and          CCONJ     
driven       VERB      
people       NOUN      
had          AUX       
left         VERB      
the          DET       
team         NOUN      
in           ADP       
the          DET       
beginning    NOUN      
of           ADP       
this         DET       
year         NOUN      
because      SCONJ     
they         PRON      
were         AUX       
underpaid    ADJ       
and          CCONJ     
overworked   VERB      
,            PUNCT     
replaced     VERB      
by           ADP       
agency       NOUN      
recruiters   NOUN      
who          PRON      
care         VERB      
only         ADV       
about        ADP       
commission   NOUN      
and          CCONJ     
not          PART      
at           ADV       
all          DET       
the          DET       
quality      NOUN      
of           ADP       
their        PRON      
hires        NOUN      
(            PUNCT     
which        PRON      
I            PRON      
can          AUX       
imagine      VERB      
will         AUX       
have         VERB      
a            DET       
very         ADV       
negative     ADJ       
effect       NOUN      
down         ADP       
the          DET       
line         NOUN      
across       ADP       
company      NOUN      
)            PUNCT     
.            PUNCT     
I            PRON      
can          AUX       
not          PART      
recommend    VERB      
you          PRON      
to           PART      
join         VERB      
this         DET       
company      NOUN      
.            PUNCT     
Only         ADV       
do           VERB      
so           ADV       
if           SCONJ     
you          PRON      
must         AUX       
,            PUNCT     
it           PRON      
's           AUX       
not          PART      
a            DET       
happy        ADJ       
environment  NOUN      
.            PUNCT     

Named Entity Recognition:
the beginning of this year DATE

--------------------------------------------------

Tokenization and POS Tagging:
It           PRON      
's           AUX       
a            DET       
quickly      ADV       
changing     VERB      
place        NOUN      
,            PUNCT     
you          PRON      
need         VERB      
to           PART      
be           AUX       
adaptable    ADJ       
and          CCONJ     
have         VERB      
an           DET       
appetite     NOUN      
for          ADP       
complexity   NOUN      
to           PART      
thrive       VERB      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
not          PART      
sure         ADJ       
what         PRON      
to           PART      
mention      VERB      

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Awful        ADJ       
management   NOUN      
!            PUNCT     
All          DET       
the          DET       
rumors       NOUN      
are          AUX       
true         ADJ       
!            PUNCT     


           SPACE     
-            PUNCT     
Founders     NOUN      
are          AUX       
friendly     ADJ       
and          CCONJ     
took         VERB      
time         NOUN      
to           PART      
discuss      VERB      
with         ADP       
their        PRON      
workforce    NOUN      
during       ADP       
momentum     NOUN      
of           ADP       
crisis       NOUN      
but          CCONJ     
it           PRON      
seems        VERB      
just         ADV       
beow         VERB      
them         PRON      
it           PRON      
's           AUX       
a            DET       
total        ADJ       
mess         NOUN      
.            PUNCT     


           SPACE     
-            PUNCT     
Low          PROPN     
salaries     NOUN      
!            PUNCT     
They         PRON      
said         VERB      
they         PRON      
have         VERB      
2            NUM       
rounds       NOUN      
March        PROPN     
and          CCONJ     
September    PROPN     
,            PUNCT     
it           PRON      
's           AUX       
a            DET       
LIE          NOUN      
.            PUNCT     
On           ADP       
March        PROPN     
it           PRON      
is           AUX       
to           PART      
go           VERB      
on           ADP       
another      DET       
level        NOUN      
(            PUNCT     
BTW          ADV       
no           DET       
one          NOUN      
understand   VERB      
anything     PRON      
about        ADP       
this         PRON      
and          CCONJ     
when         SCONJ     
you          PRON      
ask          VERB      
HR           PROPN     
they         PRON      
say          VERB      
it           PRON      
's           AUX       
confidential ADJ       
.            PUNCT     
Wut          PROPN     
?            PUNCT     
This         DET       
information  NOUN      
has          AUX       
been         AUX       
made         VERB      
public       ADJ       
therefore    ADV       
this         PRON      
is           AUX       
not          PART      
a            DET       
company      NOUN      
secret       NOUN      
anymore      ADV       
)            PUNCT     
.            PUNCT     
On           ADP       
September    PROPN     
they         PRON      
tell         VERB      
you          PRON      
that         SCONJ     
since        SCONJ     
the          DET       
policy       NOUN      
around       ADP       
it           PRON      
has          AUX       
changed      VERB      
and          CCONJ     
it           PRON      
is           AUX       
also         ADV       
"            PUNCT     
in           ADP       
relation     NOUN      
to           ADP       
the          DET       
general      PROPN     
bahaviour    PROPN     
"            PUNCT     
,            PUNCT     
basically    ADV       
you          PRON      
can          AUX       
kiss         VERB      
goodbye      VERB      
the          DET       
tiny         ADJ       
piecce       NOUN      
of           ADP       
cheese       NOUN      
you          PRON      
would        AUX       
get          VERB      
out          ADP       
of           ADP       
it           PRON      
anyway       ADV       
.            PUNCT     


           SPACE     
-            PUNCT     
Never        ADV       
integrating  VERB      
CS           PROPN     
suppot       NOUN      
in           ADP       
anything     PRON      
.            PUNCT     
Therefore    ADV       
you          PRON      
learn        VERB      
about        ADP       
major        ADJ       
changes      NOUN      
of           ADP       
the          DET       
product      NOUN      
sometimes    ADV       
the          DET       
same         ADJ       
day          NOUN      
as           ADP       
a            DET       
customer     NOUN      
.            PUNCT     
#            SYM       
adaptability NOUN      


           SPACE     
-            PUNCT     
Buggy        NOUN      
processes    NOUN      
.            PUNCT     
Never        ADV       
applying     VERB      
feedback     NOUN      
.            PUNCT     


           SPACE     
-            PUNCT     
Firing       VERB      
the          DET       
talents      NOUN      
but          CCONJ     
outsourcing  VERB      
on           ADP       
external     ADJ       
centers      NOUN      
that         PRON      
do           AUX       
not          PART      
follow       VERB      
the          DET       
same         ADJ       
quality      NOUN      
standards    NOUN      
.            PUNCT     


           SPACE     
-            PUNCT     
Promoting    VERB      
ass          NOUN      
-            NOUN      
kissers      NOUN      
despite      SCONJ     
more         ADV       
capable      ADJ       
employees    NOUN      
.            PUNCT     
It           PRON      
makes        VERB      
you          PRON      
wonder       VERB      
who          PRON      
is           AUX       
taking       VERB      
the          DET       
decisions    NOUN      
upstairs     ADV       
.            PUNCT     


           SPACE     
-            PUNCT     
Departments  PROPN     
that         PRON      
delagate     VERB      
the          DET       
shitty       ADJ       
tasks        NOUN      
to           PART      
lower        ADJ       
level        NOUN      
because      SCONJ     
reasons      NOUN      
?            PUNCT     
Of           ADV       
course       ADV       
,            PUNCT     
consequently ADV       
,            PUNCT     
responsabilities NOUN      
are          AUX       
increasing   VERB      
on           ADP       
a            DET       
personel     NOUN      
level        NOUN      
but          CCONJ     
not          PART      
the          DET       
money        NOUN      
;)           PUNCT     


           SPACE     
-            PUNCT     
Q            PROPN     
and          CCONJ     
A            PROPN     
's           PART      
sessions     NOUN      
are          AUX       
the          DET       
best         ADJ       
dodging      VERB      
bullets      NOUN      
scene        NOUN      
I            PRON      
have         AUX       
ever         ADV       
seen         VERB      
.            PUNCT     
They         PRON      
are          AUX       
only         ADV       
good         ADJ       
if           SCONJ     
you          PRON      
want         VERB      
to           PART      
learn        VERB      
irrelevant   ADJ       
topics       NOUN      
about        ADP       
management   NOUN      
and          CCONJ     
how          SCONJ     
good         ADJ       
marketing    NOUN      
is           AUX       
doing        VERB      
.            PUNCT     


           SPACE     
-            PUNCT     
Forget       PROPN     
about        ADP       
evolutions   NOUN      
.            PUNCT     
You          PRON      
are          AUX       
just         ADV       
good         ADJ       
to           PART      
be           AUX       
an           DET       
extra        ADJ       
.            PUNCT     
Nothing      PRON      
more         ADV       

Named Entity Recognition:
2                 CARDINAL
March and September DATE
LIE               ORG
March             DATE
Wut               PERSON
September         DATE
the same day      DATE

--------------------------------------------------

Tokenization and POS Tagging:
Leadership   NOUN      
.            PUNCT     
Bad          ADJ       
behaviour    NOUN      
is           AUX       
celebrated   VERB      
.            PUNCT     
A            DET       
culture      NOUN      
of           ADP       
'            PUNCT     
visibility   NOUN      
'            PUNCT     
which        PRON      
leads        VERB      
to           ADP       
no           DET       
meritocracy  NOUN      
and          CCONJ     
no           DET       
benefit      NOUN      
of           ADP       
doing        VERB      
a            DET       
good         ADJ       
job          NOUN      
.            PUNCT     
You          PRON      
can          AUX       
say          VERB      
you          PRON      
're          AUX       
'            PUNCT     
busy         ADJ       
'            PUNCT     
and          CCONJ     
do           VERB      
nothing      PRON      
.            PUNCT     
If           SCONJ     
you          PRON      
are          AUX       
visible      ADJ       
then         ADV       
you          PRON      
are          AUX       
able         ADJ       
to           PART      
feel         VERB      
some         DET       
sort         NOUN      
of           ADP       
praise       NOUN      
.            PUNCT     
Otherwise    ADV       
,            PUNCT     
the          DET       
ones         NOUN      
who          PRON      
are          AUX       
working      VERB      
hard         ADV       
and          CCONJ     
dedicating   VERB      
themselves   PRON      
are          AUX       
left         VERB      
alone        ADV       
.            PUNCT     


           SPACE     
If           SCONJ     
anyone       PRON      
is           AUX       
looking      VERB      
to           PART      
join         VERB      
,            PUNCT     
they         PRON      
need         VERB      
to           PART      
establish    VERB      
why          SCONJ     
they         PRON      
are          AUX       
joining      VERB      
,            PUNCT     
you          PRON      
wo           AUX       
n't          PART      
be           AUX       
promoted     VERB      
or           CCONJ     
be           AUX       
given        VERB      
any          DET       
salary       NOUN      
increase     NOUN      
unless       SCONJ     
you          PRON      
sell         VERB      
your         PRON      
soul         NOUN      
and          CCONJ     
suck         VERB      
up           ADP       
to           ADP       
the          DET       
management   NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
a            DET       
total        ADJ       
mess         NOUN      
,            PUNCT     
and          CCONJ     
unfortunately ADV       
no           DET       
real         ADJ       
opportunity  NOUN      
to           PART      
grow         VERB      
inside       ADP       
the          DET       
company      NOUN      
.            PUNCT     
crazy        ADJ       
turnover     NOUN      
.            PUNCT     

--------------------------------------------------

Tokenization and POS Tagging:
Hypergrowth  NOUN      
,            PUNCT     
heavy        ADJ       
on           ADP       
medium       NOUN      
management   NOUN      
.            PUNCT     

Named Entity Recognition:
Hypergrowth       NORP

--------------------------------------------------

Tokenization and POS Tagging:
Nothing      PRON      
…            PUNCT     
except       SCONJ     
those        DET       
works        VERB      
council      NOUN      
persons      NOUN      
that         PRON      
dare         VERB      
to           PART      
gather       VERB      
in           ADP       
bars         NOUN      
to           PART      
resist       VERB      
the          DET       
masters      NOUN      
.            PUNCT     
Treason      PROPN     
!            PUNCT     

            SPACE     
Good         ADJ       
thing        NOUN      
that         PRON      
the          DET       
CEO          PROPN     
sent         VERB      
the          DET       
cops         NOUN      
in           ADP       
time         NOUN      
and          CCONJ     
showed       VERB      
them         PRON      
who          PRON      
’s           VERB      
the          DET       
boss         NOUN      
!            PUNCT     

            SPACE     
I            PRON      
’m           VERB      
confused     ADJ       
about        ADP       
his          PRON      
later        ADJ       
tweet        NOUN      
tho          PROPN     
!            PUNCT     


           SPACE     
Still        ADV       
miss         VERB      
those        DET       
Amalfi       PROPN     
coast        NOUN      
CX           PROPN     
retreats     NOUN      
that         PRON      
we           PRON      
get          AUX       
pampered     VERB      
with         ADP       
.            PUNCT     
What         PRON      
a            DET       
celebration  NOUN      
of           ADP       
being        AUX       
in           ADP       
love         NOUN      
with         ADP       
ourselves    PRON      
!            PUNCT     
After        ADP       
all          PRON      
we           PRON      
deserve      VERB      
it           PRON      
for          ADP       
doing        VERB      
such         DET       
a            DET       
job          NOUN      
!            PUNCT     


           SPACE     
I            PRON      
have         VERB      
no           DET       
doubts       NOUN      
about        ADP       
the          DET       
glorious     ADJ       
future       NOUN      
!            PUNCT     
Running      VERB      
out          ADP       
of           ADP       
money        NOUN      
or           CCONJ     
flash        NOUN      
sale         NOUN      
are          AUX       
the          DET       
two          NUM       
success      NOUN      
scenarios    NOUN      
on           ADP       
the          DET       
table        NOUN      
and          CCONJ     
I            PRON      
ca           AUX       
n’t          PART      
wait         VERB      
to           PART      
give         VERB      
every        DET       
last         ADJ       
drop         NOUN      
of           ADP       
engineering  NOUN      
essence      NOUN      
for          ADP       
our          PRON      
leaders      NOUN      
pocket       NOUN      
and          CCONJ     
future       ADJ       
keynote      NOUN      
story        NOUN      
!            PUNCT     


           SPACE     
Je           PROPN     
t’aime       PROPN     
N26          PROPN     
!            PUNCT     

Named Entity Recognition:
Amalfi            GPE
two               CARDINAL

--------------------------------------------------

Tokenization and POS Tagging:
Lack         NOUN      
of           ADP       
consistent   ADJ       
work         NOUN      
hours        NOUN      
,            PUNCT     
changed      VERB      
from         ADP       
week         NOUN      
to           ADP       
week         NOUN      
.            PUNCT     

Named Entity Recognition:
hours             TIME
week to week      DATE

--------------------------------------------------

Tokenization and POS Tagging:
-            PUNCT     
Working      NOUN      
overtime     NOUN      
is           AUX       
required     VERB      
on           ADP       
a            DET       
daily        ADJ       
basis        NOUN      

            SPACE     
-            PUNCT     
Must         AUX       
prove        VERB      
yourself     PRON      
and          CCONJ     
show         VERB      
extreme      ADJ       
loyalty      NOUN      
to           PART      
earn         VERB      
a            DET       
permanent    ADJ       
contract     NOUN      

            SPACE     
-            PUNCT     
Very         ADV       
low          ADJ       
salary       NOUN      

            SPACE     
-            PUNCT     
Incompetent  ADJ       
managers     NOUN      
and          CCONJ     
team         NOUN      
leads        VERB      

            SPACE     
-            PUNCT     
Young        ADJ       
professionals NOUN      
who          PRON      
are          AUX       
very         ADV       
inexperienced ADJ       

            SPACE     
-            PUNCT     
Multiple     ADJ       
languages    NOUN      
is           AUX       
a            DET       
requirement  NOUN      
if           SCONJ     
you          PRON      
want         VERB      
to           PART      
succeed      VERB      
in           ADP       
a            DET       
role         NOUN      

            SPACE     
-            PUNCT     
Operations   PROPN     
departments  NOUN      
are          AUX       
extremely    ADV       
disorganized VERB      

            SPACE     
-            PUNCT     
Operations   PROPN     
departments  NOUN      
are          AUX       
extremely    ADV       
understaffed ADJ       

            SPACE     
-            PUNCT     
Very         ADV       
repetitive   ADJ       
tasks        NOUN      
that         PRON      
take         VERB      
a            DET       
toll         NOUN      
on           ADP       
mental       ADJ       
health       NOUN      

            SPACE     
-            PUNCT     
Saturday     PROPN     
work         NOUN      

Named Entity Recognition:
daily             DATE
Saturday          DATE

--------------------------------------------------

Tokenization and POS Tagging:
Zero         NUM       
value        NOUN      
of           ADP       
staff        NOUN      
,            PUNCT     
experience   NOUN      
,            PUNCT     
excellence   NOUN      
.            PUNCT     
Toxic        ADJ       
culture      NOUN      
and          CCONJ     
environment  NOUN      
.            PUNCT     

Named Entity Recognition:
Zero              CARDINAL

--------------------------------------------------

Tokenization and POS Tagging:
Top          ADJ       
management   NOUN      
made         VERB      
mostly       ADV       
of           ADP       
Linkedin     PROPN     
celebs       ADJ       
that         PRON      
are          AUX       
completely   ADV       
out          ADP       
of           ADP       
touch        NOUN      
from         ADP       
their        PRON      
departments  NOUN      
and          CCONJ     
too          ADV       
busy         ADJ       
managing     VERB      
up           ADP       
to           PART      
be           AUX       
able         ADJ       
to           PART      
understand   VERB      
how          SCONJ     
their        PRON      
teams        NOUN      
work         VERB      
.            PUNCT     
This         PRON      
causes       VERB      
a            DET       
lot          NOUN      
of           ADP       
frustration  NOUN      
because      SCONJ     
many         ADJ       
times        NOUN      
decisions    NOUN      
are          AUX       
taken        VERB      
without      ADP       
any          DET       
knowledge    NOUN      
on           ADP       
how          SCONJ     
they         PRON      
operationally ADV       
and          CCONJ     
structurally ADV       
affect       VERB      
the          DET       
teams        NOUN      
and          CCONJ     
the          DET       
product      NOUN      
.            PUNCT     

Named Entity Recognition:
Linkedin          ORG

--------------------------------------------------

Tokenization and POS Tagging:
Communication NOUN      
between      ADP       
higher       ADJ       
level        NOUN      
management   NOUN      
and          CCONJ     
team         NOUN      
is           AUX       
bad          ADJ       

            SPACE     
Employees    NOUN      
not          PART      
valued       VERB      

--------------------------------------------------

Tokenization and POS Tagging:
not          PART      
much         ADJ       
flexibility  NOUN      
in           ADP       
schedule     NOUN      
;            PUNCT     
baseline     NOUN      
pay          NOUN      
to           PART      
afford       VERB      
living       VERB      
in           ADP       
the          DET       
area         NOUN      
;            PUNCT     
often        ADV       
made         VERB      
to           PART      
work         VERB      
overtime     NOUN      
without      ADP       
being        AUX       
compensated  VERB      
,            PUNCT     
but          CCONJ     
then         ADV       
scolded      VERB      
for          ADP       
needing      VERB      
time         NOUN      
to           PART      
leave        VERB      
early/       ADJ       
for          ADP       
appointments/ PROPN     
etc          NOUN      
.            X         
;            PUNCT     
told         VERB      
we           PRON      
were         AUX       
promoted     VERB      
and          CCONJ     
allowed      VERB      
to           PART      
take         VERB      
on           ADP       
new          ADJ       
role         NOUN      
,            PUNCT     
but          CCONJ     
waited       VERB      
months       NOUN      
for          SCONJ     
it           PRON      
to           PART      
become       VERB      
official     ADJ       
-            PUNCT     
paid         VERB      
same         ADJ       
wage         NOUN      
while        SCONJ     
working      VERB      
a            DET       
higher       ADJ       
up           ADJ       
role         NOUN      
for          ADP       
nearly       ADV       
6            NUM       
months       NOUN      

Named Entity Recognition:
months            DATE
nearly 6 months   DATE

--------------------------------------------------

Tokenization and POS Tagging:
Low          ADJ       
salary       NOUN      
,            PUNCT     
a            DET       
bit          NOUN      
messy        ADJ       
for          ADP       
process      NOUN      

--------------------------------------------------

Tokenization and POS Tagging:
This         PRON      
has          AUX       
been         AUX       
the          DET       
experience   NOUN      
for          ADP       
the          DET       
last         ADJ       
20           NUM       
months       NOUN      
and          CCONJ     
I            PRON      
do           AUX       
n't          PART      
see          VERB      
any          DET       
positive     ADJ       
change       NOUN      
:            PUNCT     


           SPACE     
Very         ADV       
bad          ADJ       
politics     NOUN      

            SPACE     
Below        ADP       
market       NOUN      
salary       NOUN      

            SPACE     
Upper        PROPN     
management   NOUN      
do           AUX       
n’t          PART      
care         VERB      
about        ADP       
employees    NOUN      
or           CCONJ     
retention    NOUN      
rates        NOUN      
.            PUNCT     

            SPACE     
Lack         NOUN      
of           ADP       
recognition  NOUN      
of           ADP       
good         ADJ       
work         NOUN      
.            PUNCT     

            SPACE     
Lots         NOUN      
of           ADP       
chaos        NOUN      
due          ADP       
to           ADP       
lack         NOUN      
of           ADP       
transparency NOUN      
,            PUNCT     
decision     NOUN      
making       NOUN      
and          CCONJ     
high         ADJ       
attrition    NOUN      
rates        NOUN      
.            PUNCT     

            SPACE     
Lots         NOUN      
of           ADP       
disappointment NOUN      
and          CCONJ     
difficult    ADJ       
to           PART      
grow         VERB      
ones         NOUN      
career       NOUN      
internally   ADV       
.            PUNCT     

            SPACE     
Promotions   NOUN      
without      ADP       
getting      VERB      
a            DET       
raise        NOUN      
.            PUNCT     

            SPACE     
Lots         NOUN      
of           ADP       
pressure     NOUN      
to           PART      
be           AUX       
compliant    ADJ       
but          CCONJ     
very         ADV       
little       ADJ       
support      NOUN      
to           PART      
make         VERB      
it           PRON      
feasible     ADJ       

            SPACE     
Budget       PROPN     
constraints  NOUN      
and          CCONJ     
limited      ADJ       
resources    NOUN      
.            PUNCT     

            SPACE     
Unachievable PROPN     
deadlines    NOUN      

            SPACE     
Under        ADP       
qualified    ADJ       
management   NOUN      
with         ADP       
very         ADV       
little       ADJ       
experience   NOUN      

            SPACE     
Constant     ADJ       
process      NOUN      
changes      NOUN      
which        PRON      
makes        VERB      
everything   PRON      
complicated  ADJ       
and          CCONJ     
take         VERB      
extra        ADV       
long         ADV       
-            PUNCT     
very         ADV       
difficult    ADJ       
to           PART      
get          VERB      
stuff        NOUN      
done         VERB      

            SPACE     
People       NOUN      
team         NOUN      
is           AUX       
there        ADV       
to           PART      
support      VERB      
the          DET       
founders     NOUN      
,            PUNCT     
not          PART      
to           PART      
make         VERB      
employee     NOUN      
experience   NOUN      
good         ADJ       

Named Entity Recognition:
the last 20 months DATE
Upper             ORG
Constant          PERSON

--------------------------------------------------

2.3 Preprocessing Steps for Text Analysis

At this stage, I performed text preprocessing on the 'Pros' and 'Cons' reviews for both Deutsche Bank and N26 datasets.

First, I loaded the spaCy model for English language processing (en_core_web_md). Then, I defined a preprocessing function called preprocess_text, which applies several transformations to the text by converting text to lowercase, removing numbers, removing hyphens and replace with space, removing punctuation, replacing multiple whitespaces with a single space, and striping any leading/trailing whitespace. After that, I used spaCy for tokenization and stop word removal which filters out tokens that are stop words, punctuation, whitespace, single characters, numeric-like tokens, and currency symbols. Lastly, I also excluded pronouns and then joined the tokens back into a string to form cleaned text.

Finally, the function is applied to the 'Pros' and 'Cons' columns of both Deutsche Bank (db) and N26 (n26) datasets, and the cleaned text is stored in new columns named 'Pros_cleaned' and 'Cons_cleaned' for further analysis.

This preprocessing step prepares the text data for subsequent analysis tasks, such as sentiment analysis or topic modeling, by removing noise and irrelevant information.

# Load the spaCy model for English language
nlp = spacy.load('en_core_web_md')
# Define the preprocessing function
def preprocess_text(text):
    # Convert text to lowercase
    text = text.lower()
    # Remove numbers
    text = re.sub(r'\d+', ' ', text)
    # Remove hyphens and replace with space
    text = re.sub(r'-', ' ', text)
    # Remove punctuation
    text = re.sub(r'[^\w\s]', '', text)
    # Replace multiple whitespaces with a single space
    text = re.sub(r'\s+', ' ', text)
    # Strip any leading/trailing whitespace that may have appeared
    text = text.strip()
    # Use spaCy for tokenization and stop word removal
    doc = nlp(text)
    # Filter out tokens that are stop words, punctuation, whitespace, or single characters, and convert to lowercase
    tokens = [token.lemma_ for token in doc 
              if not token.is_stop 
              and not token.is_punct
              and not token.is_space 
              and not token.is_digit
              and not token.like_num  # Check for numeric-like tokens
              and not token.is_currency
              and token.lemma_ != '-PRON-'
              and len(token.text) > 1]
    # Join the tokens back into a string
    clean_text = ' '.join(tokens)
    return clean_text

db['Pros_cleaned'] = db['Pros'].apply(preprocess_text)
db['Cons_cleaned'] = db['Cons'].apply(preprocess_text)
n26['Pros_cleaned'] = n26['Pros'].apply(preprocess_text)
n26['Cons_cleaned'] = n26['Cons'].apply(preprocess_text)

db.head(10)

	Employee Title	Location	Pros	Cons	Rating	Company Name	Pros_cleaned	Cons_cleaned
0	Compliance Analyst	Berlin	The environment within the team was open and n...	The temporary contract and the salary	5.0	Deutsche Bank	environment team open competitive people kind ...	temporary contract salary
1	Vice President M&A	Frankfurt am Main	Deutsche Bank in Germany still kind of #1, and...	Globally lacking behind BB US banks, but keeps...	5.0	Deutsche Bank	deutsche bank germany kind involve big deal	globally lack bb bank keep closely ensure low bb
2	Graduate Trainee In Technology/Digital	Frankfurt am Main	The job stands for a very good work-life balance.	Less challenging for career beginners.	4.0	Deutsche Bank	job stand good work life balance	challenging career beginner
3	Internship	Frankfurt am Main	Flexible work and 39h/ week	In Corona times difficult to network	4.0	Deutsche Bank	flexible work week	corona time difficult network
4	Corporate Treasury Sales	Frankfurt am Main	Trading floor experience and good socials	Monotone work and no good training	4.0	Deutsche Bank	trading floor experience good social	monotone work good training
5	Risk Analyst	Berlin	Flexible working hours, good work-life balance	There is not many Career Development Opportuni...	4.0	Deutsche Bank	flexible working hour good work life balance	career development opportunity
6	Bank Assistant	Hamburg	Helpful for everyone job seeker	i dont know anything about it thank you so much	4.0	Deutsche Bank	helpful job seeker	not know thank
7	Analyst	Frankfurt am Main	Friendly and helpful environment, good payment	Heavy workload sometimes 100h weeks \nLittle t...	4.0	Deutsche Bank	friendly helpful environment good payment	heavy workload week little understanding workl...
8	CIB Operation Regional Lead	Frankfurt am Main	Work Life balance, Pay is okay	Internal promotion is difficult Politics	4.0	Deutsche Bank	work life balance pay okay	internal promotion difficult politic
9	Internship	Frankfurt am Main	Facilities, relaxed working hours, opportunity...	Responsibility, a lot of admin work	2.0	Deutsche Bank	facility relax work hour opportunity look team...	responsibility lot admin work

n26.head(10)

	Employee Title	Location	Pros	Cons	Rating	Company Name	Pros_cleaned	Cons_cleaned
0	Anonymous Employee	Berlin	Good teams and setups, solid Ways of working	Management crisis, high turnover on management...	3.0	N26	good team setup solid way work	management crisis high turnover management lev...
1	Senior Software Engineer	Berlin	Work environment relaxed, even better after th...	Management is not really ready to listen opini...	2.0	N26	work environment relax well works council ente...	management ready listen opinion different thei...
2	Anonymous Employee	Berlin	The teams have some of the nicest and hard wor...	The managers in this company do not support th...	1.0	N26	team nice hard work people	manager company support wonderful people contr...
3	User Researcher	Berlin	Diverse work, lot's of in-house talent	Some uncertainty with organisation direction	4.0	N26	diverse work lot house talent	uncertainty organisation direction
4	Analytics Engineer	Berlin	Wonderful people to work with and state of the...	Project workflow can be lost in the thread whe...	3.0	N26	wonderful people work state art tech stack	project workflow lose thread change happen eas...
5	International Customer Support Specialist	Berlin	Good place to work in general	Not so much chance of growth	3.0	N26	good place work general	chance growth
6	Compliance Specialist	Berlin	the company still is quite interesting	the salary is quite low	3.0	N26	company interesting	salary low
7	Product Designer	Berlin	Great people. Fun product. Learnt so much	Too many layers in the org after scaling a lot...	5.0	N26	great people fun product learn	layer org scale lot quickly
8	Backend Engineer	Berlin	good vibes\ngood peoples\nnice office in the c...	problems with budget regarding salary updates	4.0	N26	good vibe good people nice office center berli...	problem budget salary update
9	Senior Product Analyst	Berlin	Full Remote work. The product analytics team i...	Product leaders need more focus on being more ...	3.0	N26	remote work product analytic team nice support...	product leader need focus datum inform datum i...

3. Main Analysis and Methodology

3.1 Text Exploratory after Preprocessing Steps

(1) Total Word Count in Reviews

For this step, I would like to show the total word count in the 'Pros_cleaned' and 'Cons_cleaned' columns for Deutsche Bank and N26 after preprocessing.** It splits each review into words and sums up the word counts in both 'Pros_cleaned' and 'Cons_cleaned' columns separately for each company.

# Total word count in 'Pros' and 'Cons'
db_wordcount_pros_post = db['Pros_cleaned'].apply(lambda x: len(x.split())).sum()
db_wordcount_cons_post = db['Cons_cleaned'].apply(lambda x: len(x.split())).sum()
n26_wordcount_pros_post = n26['Pros_cleaned'].apply(lambda x: len(x.split())).sum()
n26_wordcount_cons_post = n26['Cons_cleaned'].apply(lambda x: len(x.split())).sum()
print(f"Total word count in 'Pros_cleaned' reviews of Deutsche Bank after preprocessing: {db_wordcount_pros_post} words")
print(f"Total word count in 'Cons_cleaned' reviews of Deutsche Bank after preprocessing: {db_wordcount_cons_post} words")
print(f"Total word count in 'Pros_cleaned' reviews of N26 after preprocessing: {n26_wordcount_pros_post} words")
print(f"Total word count in 'Cons_cleaned' reviews of N26 after preprocessing: {n26_wordcount_cons_post} words")

Total word count in 'Pros_cleaned' reviews of Deutsche Bank after preprocessing: 1309 words
Total word count in 'Cons_cleaned' reviews of Deutsche Bank after preprocessing: 1327 words
Total word count in 'Pros_cleaned' reviews of N26 after preprocessing: 2081 words
Total word count in 'Cons_cleaned' reviews of N26 after preprocessing: 2328 words

The output indicates that after preprocessing, there are 1309 words in the 'Pros_cleaned' column and 1327 words in the 'Cons_cleaned' column for Deutsche Bank, while for N26, there are 2081 words in the 'Pros_cleaned' column and 2328 words in the 'Cons_cleaned' column.

(2) Average Length of Reviews

This step computes the mean length of each review by applying the len() function to each text and then the output shows the average length of 'Pros_cleaned' and 'Cons_cleaned' columns, measured in terms of the number of characters after preprocessing for both Deutsche Bank and N26 datasets.

# Mean length of reviews (in terms of number of characters)
db_meanlength_pros_post = db['Pros_cleaned'].apply(len).mean()
db_meanlength_cons_post = db['Cons_cleaned'].apply(len).mean()
n26_meanlength_pros_post = n26['Pros_cleaned'].apply(len).mean()
n26_meanlength_cons_post = n26['Cons_cleaned'].apply(len).mean()
print(f"Average length of 'Pros_cleaned' reviews of Deutsche Bank after preprocessing: {db_meanlength_pros_post} characters")
print(f"Average length of 'Cons_cleaned' reviews of Deutsche Bank after preprocessing: {db_meanlength_cons_post} characters")
print(f"Average length of 'Pros_cleaned' reviews of N26 after preprocessing: {n26_meanlength_pros_post} characters")
print(f"Average length of 'Cons_cleaned' reviews of N26 after preprocessing: {n26_meanlength_cons_post} characters")

Average length of 'Pros_cleaned' reviews of Deutsche Bank after preprocessing: 46.72 characters
Average length of 'Cons_cleaned' reviews of Deutsche Bank after preprocessing: 47.35 characters
Average length of 'Pros_cleaned' reviews of N26 after preprocessing: 73.545 characters
Average length of 'Cons_cleaned' reviews of N26 after preprocessing: 84.825 characters

The results show that, on average, 'Pros_cleaned' and 'Cons_cleaned' reviews for Deutsche Bank have a length of approximately 46.72 characters and 47.35 characters, respectively, before preprocessing. For N26, the average length of 'Pros_cleaned' and 'Cons_cleaned' reviews is approximately 73.545 characters and 84.825 characters, respectively, after preprocessing.

(3) Average Word Length in Reviews

After preprocessing, I calculated the average word length in 'Pros_cleaned' and 'Cons_cleaned' reviews after preprocessing for both Deutsche Bank and N26 datasets.** I applied a lambda function to each entry in the 'Pros_cleaned' and 'Cons_cleaned' columns of both datasets to split the text into words and then calculated the mean length of these words, considering only alphabetic characters.

# Average word length in 'Pros' and 'Cons'
db_avg_wordlength_pros_post = db['Pros_cleaned'].apply(lambda x: np.mean([len(word) for word in x.split() if word.isalpha()])).mean()
db_avg_wordlength_cons_post = db['Cons_cleaned'].apply(lambda x: np.mean([len(word) for word in x.split() if word.isalpha()])).mean()
n26_avg_wordlength_pros_post = n26['Pros_cleaned'].apply(lambda x: np.mean([len(word) for word in x.split() if word.isalpha()])).mean()
n26_avg_wordlength_cons_post = n26['Cons_cleaned'].apply(lambda x: np.mean([len(word) for word in x.split() if word.isalpha()])).mean()
print(f"Average word length in 'Pros_cleaned' reviews of Deutsche Bank after preprocessing: {db_avg_wordlength_pros_post}")
print(f"Average word length in 'Cons_cleaned' reviews of Deutsche Bank after preprocessing: {db_avg_wordlength_cons_post}")
print(f"Average word length in 'Pros_cleaned' reviews of N26 after preprocessing: {n26_avg_wordlength_pros_post}")
print(f"Average word length in 'Cons_cleaned' reviews of N26 after preprocessing: {n26_avg_wordlength_cons_post}")

Average word length in 'Pros_cleaned' reviews of Deutsche Bank after preprocessing: 6.248046072237576
Average word length in 'Cons_cleaned' reviews of Deutsche Bank after preprocessing: 6.256767754089016
Average word length in 'Pros_cleaned' reviews of N26 after preprocessing: 6.207176135831977
Average word length in 'Cons_cleaned' reviews of N26 after preprocessing: 6.373807051294438

The results indicate that, on average, words in 'Pros_cleaned' reviews for Deutsche Bank have a length of approximately 6.25 characters, while words in 'Cons_cleaned' reviews have a length of approximately 6.26 characters after preprocessing. For N26, the average word length in 'Pros_cleaned' reviews is approximately 6.21 characters, and in 'Cons_cleaned' reviews, it is approximately 6.37 characters after preprocessing.

(4) Word Cloud Visualization of Reviews

Then, I generated word clouds for the positive and negative reviews (‘Pros_cleaned’ and ‘Cons_cleaned’) of both Deutsche Bank and N26 datasets by using WordCloud library. The word clouds visually represent the most frequent words in the positive and negative reviews, providing a quick overview of the sentiments expressed by employees towards each company.

# Combine all pros into a single string
db_pros_text = " ".join(review for review in db.Pros_cleaned.dropna())

# Generate a word cloud image for pros
db_wordcloud_pros = WordCloud(background_color="white", colormap='viridis').generate(db_pros_text)

# Combine all cons into a single string
db_cons_text = " ".join(review for review in db.Cons_cleaned.dropna())

# Generate a word cloud image for cons
db_wordcloud_cons = WordCloud(background_color="white", colormap='magma').generate(db_cons_text)

# Create subplots with 1 row and 2 columns
fig, axes = plt.subplots(1, 2, figsize=(15, 5))

# Plotting word cloud for pros
axes[0].imshow(db_wordcloud_pros, interpolation='bilinear')
axes[0].set_title('Word Cloud from Positive Reviews (Pros_cleaned) in Deutsche Bank')
axes[0].axis("off")

# Plotting word cloud for cons
axes[1].imshow(db_wordcloud_cons, interpolation='bilinear')
axes[1].set_title('Word Cloud From Negative Reviews (Cons_cleaned) in Deutsche Bank')
axes[1].axis("off")

plt.tight_layout()
plt.show()

For Deutsche Bank, the positive reviews highlight "good", "work", "life", "balance", and "team", suggesting employees appreciate the work environment and work-life balance. The negative reviews emphasize "work", "process", "slow", "career", and "bureaucracy", indicating that areas of dissatisfaction often relate to workload, career progression, and bureaucratic hurdles..

# Combine all pros into a single string
n26_pros_text = " ".join(review for review in n26.Pros_cleaned.dropna())

# Generate a word cloud image for pros
n26_wordcloud_pros = WordCloud(background_color="white", colormap='viridis').generate(n26_pros_text)

# Combine all cons into a single string
n26_cons_text = " ".join(review for review in n26.Cons_cleaned.dropna())

# Generate a word cloud image for cons
n26_wordcloud_cons = WordCloud(background_color="white", colormap='magma').generate(n26_cons_text)

# Create subplots with 1 row and 2 columns
fig, axes = plt.subplots(1, 2, figsize=(15, 5))

# Plotting word cloud for pros
axes[0].imshow(n26_wordcloud_pros, interpolation='bilinear')
axes[0].set_title('Word Cloud from Positive Reviews (Pros_cleaned) in N26')
axes[0].axis("off")

# Plotting word cloud for cons
axes[1].imshow(n26_wordcloud_cons, interpolation='bilinear')
axes[1].set_title('Word Cloud from Negative Reviews (Cons_cleaned) in N26')
axes[1].axis("off")

plt.tight_layout()
plt.show()

In the positive reviews of N26, words such as "good", "work", "great", "team", and "environment" stand out, suggesting that employees value the workplace culture and team dynamics. The negative reviews emphasize "management", "change", "salary", "company", and "team", pointing to concerns with management practices, salary satisfaction, and the company's approach to change.

Overall, both companies show positive feedback on the “team” and “people”. Noticeably, “work-life balance” is prominent in the positive aspects of Deutsche Bank, while “slow work process” and "management" are negative points for Deutsche Bank and N26, respectively.

(5) The Most Common Words in Reviews

In this step, I would like to show bar charts of the most common words found in the positive and negative reviews of Deutsche Bank and N26.

# Load English tokenizer, tagger, parser, NER, and word vectors
nlp = spacy.load("en_core_web_md")

# Function to preprocess text with spaCy (tokenization and stop word removal)
def preprocess(text):
    doc = nlp(text)
    # Include additional condition to ignore tokens that are empty strings or spaces
    return [token.text.lower() for token in doc if not token.is_stop and not token.is_punct and not token.is_space and token.text.strip()]

# Apply the preprocessing to Pros and Cons and count words
db_pros_words = [word for review in db.Pros_cleaned.dropna() for word in preprocess(review)]
db_pros_words = Counter(db_pros_words)

db_cons_words = [word for review in db.Cons_cleaned.dropna() for word in preprocess(review)]
db_cons_words = Counter(db_cons_words)

# Directly get the 10 most common words and their counts for Pros and Cons
db_pros_mostcommon = db_pros_words.most_common(10)
db_cons_mostcommon = db_cons_words.most_common(10)

# Unpack the words and their frequencies
db_pros_words, db_pros_counts = zip(*db_pros_mostcommon)
db_cons_words, db_cons_counts = zip(*db_cons_mostcommon)

# Visualization
fig, axes = plt.subplots(1, 2, figsize=(15, 5))

# Bar plot for the most common words in Pros
axes[0].bar(db_pros_words, db_pros_counts, color='darkblue')
axes[0].set_title('Most Common Words in Positive of Deutsche Bank')
axes[0].tick_params(axis='x', rotation=45)
axes[0].set_ylabel('Frequency')

# Annotate each bar with its value for Deutsche Bank
for i, value in enumerate(db_pros_counts):
    axes[0].text(i, value, str(value), ha='center', va='bottom')

# Bar plot for the most common words in Cons
axes[1].bar(db_cons_words, db_cons_counts, color='darkred')
axes[1].set_title('Most Common Words in Cons of Deutsche Bank')
axes[1].tick_params(axis='x', rotation=45)
axes[1].set_ylabel('Frequency')

# Annotate each bar with its value for Deutsche Bank
for i, value in enumerate(db_cons_counts):
    axes[1].text(i, value, str(value), ha='center', va='bottom')

plt.tight_layout()  # Adjust layout to not overlap
plt.show()

In positive reviews of Deutsche Bank, the most frequent words are "good" (88 mentions), "work" (72), "balance" (38), "life" (32), and "great" (29), reflecting a positive sentiment towards work-life balance and the general work environment. Meanwhile, negative reviews related to "work" (46 mentions) is the most common word, followed by "slow" (26), "process" (21), and "company" (18). This suggests criticism is focused on the pace and processes within the company, and possibly the impact on employees' work.

# Load English tokenizer, tagger, parser, NER, and word vectors
nlp = spacy.load("en_core_web_md")

# Function to preprocess text with spaCy (tokenization and stop word removal)
def preprocess(text):
    doc = nlp(text)
    # Include additional condition to ignore tokens that are empty strings or spaces
    return [token.text.lower() for token in doc if not token.is_stop and not token.is_punct and token.text.strip()]

# Apply the preprocessing to Pros and Cons and count words
n26_pros_words = [word for review in n26.Pros_cleaned.dropna() for word in preprocess(review)]
n26_pros_words = Counter(n26_pros_words)

n26_cons_words = [word for review in n26.Cons_cleaned.dropna() for word in preprocess(review)]
n26_cons_words = Counter(n26_cons_words)

# Directly get the 10 most common words and their counts for Pros and Cons
n26_pros_mostcommon = n26_pros_words.most_common(10)
n26_cons_mostcommon = n26_cons_words.most_common(10)

# Unpack the words and their frequencies
n26_pros_words, n26_pros_counts = zip(*n26_pros_mostcommon)
n26_cons_words, n26_cons_counts = zip(*n26_cons_mostcommon)

# Visualization
fig, axes = plt.subplots(1, 2, figsize=(15, 5))

# Bar plot for the most common words in Pros
axes[0].bar(n26_pros_words, n26_pros_counts, color='seagreen')
axes[0].set_title('Most Common Words in Pros of N26')
axes[0].tick_params(axis='x', rotation=45)
axes[0].set_ylabel('Frequency')

# Annotate each bar with its value for N26
for i, value in enumerate(n26_pros_counts):
    axes[0].text(i, value, str(value), ha='center', va='bottom')

# Bar plot for the most common words in Cons
axes[1].bar(n26_cons_words, n26_cons_counts, color='indianred')
axes[1].set_title('Most Common Words in Cons of N26')
axes[1].tick_params(axis='x', rotation=45)
axes[1].set_ylabel('Frequency')

# Annotate each bar with its value for N26
for i, value in enumerate(n26_cons_counts):
    axes[1].text(i, value, str(value), ha='center', va='bottom')

plt.tight_layout()  # Adjust layout to not overlap
plt.show()

N26’s positive reviews most frequently include "work" (89 mentions), "great" (65), "good" (61), and "team" (56), indicating that employees have a positive perception of their work, team, and the overall company culture. Meanwhile, negative reviews related to "management" (58 mentions) is the most cited issue, followed by "work" (43), "team" (38), and "company" (28), pointing towards concerns primarily related to management and team dynamics.

These charts provide a concise quantitative analysis of common themes in employee feedback, highlighting the strengths and areas for improvement for each company as perceived by their employees.

3.2 Topic Modeling

For a topic modeling analysis, I applied Latent Dirichlet Allocation (LDA) to positive and negative employee reviews of Deutsche Bank and N26 for identifying common themes in both positive (‘Pros_cleaned’) and negative (‘Cons_cleaned’) feedback of both companies.

# Combine the preprocessed text into lists
db_pros_text = [preprocess(review) for review in db['Pros_cleaned'].dropna()]
db_cons_text = [preprocess(review) for review in db['Cons_cleaned'].dropna()]

# Create a Gensim dictionary from the text
db_pros_dictionary = Dictionary(db_pros_text)
db_cons_dictionary = Dictionary(db_cons_text)

# Filter out extremes to limit the number of features
db_pros_dictionary.filter_extremes(no_below=5, no_above=0.5)
db_cons_dictionary.filter_extremes(no_below=5, no_above=0.5)

# Convert the dictionary to a bag of words corpus
db_pros_corpus = [db_pros_dictionary.doc2bow(text) for text in db_pros_text]
db_cons_corpus = [db_cons_dictionary.doc2bow(text) for text in db_cons_text]

# Train LDA model for Pros_cleaned and Cons_cleaned
db_pros_topics = LdaModel(corpus=db_pros_corpus, id2word=db_pros_dictionary, num_topics=3, random_state=42, passes=10, iterations=50)
db_cons_topics = LdaModel(corpus=db_cons_corpus, id2word=db_cons_dictionary, num_topics=3, random_state=42, passes=10, iterations=50)

# Display topics for Pros_cleaned and Cons_cleaned
print("Positive Topics in Deutsche Bank:")
for idx, topic in db_pros_topics.print_topics(-1):
    print(f"Topic: {idx} \nWords: {topic}\n")
print("Negative Topics in Deutsche Bank:")
for idx, topic in db_cons_topics.print_topics(-1):
    print(f"Topic: {idx} \nWords: {topic}\n")

Positive Topics in Deutsche Bank:
Topic: 0 
Words: 0.205*"good" + 0.056*"team" + 0.053*"benefit" + 0.050*"nice" + 0.047*"environment" + 0.043*"salary" + 0.041*"company" + 0.040*"employee" + 0.037*"people" + 0.034*"management"

Topic: 1 
Words: 0.107*"opportunity" + 0.089*"people" + 0.074*"lot" + 0.067*"great" + 0.056*"environment" + 0.055*"international" + 0.050*"work" + 0.044*"interesting" + 0.042*"bank" + 0.041*"career"

Topic: 2 
Words: 0.199*"work" + 0.111*"balance" + 0.102*"good" + 0.102*"life" + 0.051*"great" + 0.050*"colleague" + 0.038*"culture" + 0.036*"office" + 0.036*"project" + 0.032*"nice"

Negative Topics in Deutsche Bank:
Topic: 0 
Words: 0.117*"slow" + 0.076*"process" + 0.074*"career" + 0.054*"bureaucracy" + 0.049*"salary" + 0.035*"pay" + 0.033*"good" + 0.033*"new" + 0.033*"old" + 0.028*"year"

Topic: 1 
Words: 0.099*"work" + 0.063*"bad" + 0.052*"promotion" + 0.049*"life" + 0.049*"balance" + 0.045*"employee" + 0.044*"low" + 0.043*"management" + 0.039*"con" + 0.038*"change"

Topic: 2 
Words: 0.151*"work" + 0.085*"lot" + 0.062*"company" + 0.060*"people" + 0.053*"big" + 0.048*"team" + 0.045*"time" + 0.044*"hour" + 0.034*"office" + 0.034*"environment"

The LDA analysis on Deutsche Bank's employee reviews reveals three main topics in both positive and negative feedback.

Positive Feedback Topics:

• Team and Benefits: This topic features "good," "team," and "benefit" show that employees are happy with the teamwork and benefits provided.

• Work Opportunities and Environment: With "opportunity," "international," and "environment", it shows that employees appreciate the career opportunities and the international work environment.

• Work-life Balance: Words such as "work," "balance," and "life," indicate a positive sentiment about managing professional and personal life effectively.

Negative Feedback Topics:

• Slow Career Progression and Bureaucracy Systems: The words "slow," "process," "career," and "bureaucracy" point to frustrations with slow career advancement and bureaucracy processes.

• Work-life Imbalance: The prominence of "work," "bad," "life," and "balance," reflects dissatisfaction with managing their personnal life with work.

• Workload and Company Structure: Words such as "Work," "lot," "company," and "big" highlight challenges with heavy workloads and the impact of the company's large size.

In summary, employees of Deutsche Bank appreciate the teamwork, benefits, international work environment, and work-life balance. However, they express concerns about slow career progression, bureaucracy management, workload and the stress of large company structures on their work experiences.

# Combine the preprocessed text into lists
n26_pros_text = [preprocess(review) for review in n26['Pros_cleaned'].dropna()]
n26_cons_text = [preprocess(review) for review in n26['Cons_cleaned'].dropna()]

# Create a Gensim dictionary from the text
n26_pros_dictionary = Dictionary(n26_pros_text)
n26_cons_dictionary = Dictionary(n26_cons_text)

# Filter out extremes to limit the number of features
n26_pros_dictionary.filter_extremes(no_below=5, no_above=0.5)
n26_cons_dictionary.filter_extremes(no_below=5, no_above=0.5)

# Convert the dictionary to a bag of words corpus
pros_corpus = [n26_pros_dictionary.doc2bow(text) for text in n26_pros_text]
cons_corpus = [n26_cons_dictionary.doc2bow(text) for text in n26_cons_text]

# Train LDA model for Pros_cleaned and Cons_cleaned
n26_pros_topic = LdaModel(corpus=pros_corpus, id2word=n26_pros_dictionary, num_topics=3, random_state=42, passes=10, iterations=50)
n26_cons_topic = LdaModel(corpus=cons_corpus, id2word=n26_cons_dictionary, num_topics=3, random_state=42, passes=10, iterations=50)

# Display topics for Pros_cleaned and Cons_cleaned
print("Positive Topics in N26:")
for idx, topic in n26_pros_topic.print_topics(-1):
    print(f"Topic: {idx} \nWords: {topic}\n")
print("Negative Topics in N26:")
for idx, topic in n26_cons_topic.print_topics(-1):
    print(f"Topic: {idx} \nWords: {topic}\n")

Positive Topics in N26:
Topic: 0 
Words: 0.143*"work" + 0.078*"good" + 0.071*"great" + 0.051*"team" + 0.044*"people" + 0.037*"opportunity" + 0.034*"place" + 0.027*"environment" + 0.025*"employee" + 0.024*"growth"

Topic: 1 
Words: 0.067*"people" + 0.053*"great" + 0.052*"good" + 0.042*"lot" + 0.034*"learn" + 0.034*"colleague" + 0.033*"year" + 0.031*"benefit" + 0.030*"product" + 0.030*"high"

Topic: 2 
Words: 0.087*"environment" + 0.077*"team" + 0.069*"nice" + 0.069*"lot" + 0.031*"great" + 0.030*"work" + 0.026*"culture" + 0.025*"flexibility" + 0.025*"salary" + 0.025*"people"

Negative Topics in N26:
Topic: 0 
Words: 0.065*"management" + 0.064*"level" + 0.060*"bad" + 0.059*"employee" + 0.045*"high" + 0.034*"pay" + 0.034*"chaotic" + 0.032*"task" + 0.031*"work" + 0.030*"turnover"

Topic: 1 
Words: 0.083*"company" + 0.058*"management" + 0.056*"work" + 0.035*"environment" + 0.032*"fast" + 0.032*"communication" + 0.029*"people" + 0.026*"culture" + 0.026*"leave" + 0.023*"employee"

Topic: 2 
Words: 0.084*"team" + 0.052*"management" + 0.051*"change" + 0.038*"salary" + 0.036*"work" + 0.033*"department" + 0.031*"good" + 0.030*"founder" + 0.030*"lot" + 0.028*"people"

From the LDA analysis of N26’s employee reviews, there are three main topics in both positive and negative terms.

Positive Feedback Topics:

• Good Teamwork: Most employees frequently mentioned "work," "good," "great," "team," and "people," reflecting that employees have satisfaction on their work and appreciation for people and teamwork.

• Learning and Growth: With "people," "learn," and "colleague," this theme shows a positive view of personal development and the chance to learn from others within the company.

• Work Environment and Compensation: This topic features "environment," "nice," and "salary" indicates that employees are happy with their work environment and have satisfaction on the compensation.

Negative Feedback Topics:

• Management and Organizational Challenges: The words "management," "level," "high," and "turnover," reflect challenges with management and organizational structure that might be causing frustration among employees and high turnover.

• Company Dynamics and Communication: The prominence of words "company," "fast," and "communication" highlight issues with rapid company changes and potentially lacking communication.

• Team Management Changes and Salary: With "team," "management," "change," and "salary,", it shows concerns about the impact of fast changes within the team or company and dissatisfaction on salary.

In conclusion, while N26’s employees feel positive about teamwork, work environment, and compensation schemes that supports personal and professional growth, they also express concerns on management practices, organizational structure, rapid company changes, cultural dynamics, and deficiencies in communication. Additionally, dissatisfaction with salary levels can lead to a high turnover rate within the organization.

3.3 Clustering Classification

(1) Clustering Positive Reviews about Working in Deutsche Bank

In this step, I applied text clustering on the 'Pros_cleaned' data from the 'db' dataset, using the TF-IDF (Term Frequency-Inverse Document Frequency) representation with ‘ngram_range’ covering single words, bigrams, and trigrams. The KMeans clustering algorithm was then employed to group the textual data into distinct clusters based on their semantic similarities.

# Initialize TfidfVectorizer with ngram_range for single words, bigrams, and trigrams
db_pros_vectorizer_tfidf = TfidfVectorizer(ngram_range=(1, 3), max_features=5)

# Fit and transform the entire preprocessed text data into TF-IDF model
db_pros_tfidf_matrix = db_pros_vectorizer_tfidf.fit_transform(db['Pros_cleaned'])

# Define the number of clusters
db_pros_num_clusters_tfidf = 5

# Initialize KMeans with the desired number of clusters
kmeans = KMeans(n_clusters=db_pros_num_clusters_tfidf, random_state=42)

# Fit KMeans on the TF-IDF data
kmeans.fit(db_pros_tfidf_matrix)

# Predict the cluster labels for each document
db_pros_clusters_tfidf = kmeans.labels_

# Add cluster labels to your DataFrame
db['db_Pros_cluster'] = db_pros_clusters_tfidf

# Print texts belonging to a specific cluster
for i in range(db_pros_num_clusters_tfidf):
    print(f"Cluster {i} texts:")
    print(db[db['db_Pros_cluster'] == i]['Pros_cleaned'].head())
    print("\n")

Cluster 0 texts:
0     environment team open competitive people kind ...
1           deutsche bank germany kind involve big deal
6                                    helpful job seeker
10                 amazing worklife balance flexibility
11    international team great guidance manager inte...
Name: Pros_cleaned, dtype: object


Cluster 1 texts:
31                                 good atmosphere work
34               good pay work expectation work culture
41    great leader technology division nice colleagu...
51                                 good people work env
87    mention people amazing devs open space feel li...
Name: Pros_cleaned, dtype: object


Cluster 2 texts:
2                 job stand good work life balance
5     flexible working hour good work life balance
8                       work life balance pay okay
12        stable employment good work life balance
19                          good work life balance
Name: Pros_cleaned, dtype: object


Cluster 3 texts:
3                                    flexible work week
9     facility relax work hour opportunity look team...
28            choose work choose goal care health bieng
29    excellent breadth work bank size global footprint
42                       hybrid work style great people
Name: Pros_cleaned, dtype: object


Cluster 4 texts:
4                  trading floor experience good social
7             friendly helpful environment good payment
14                            good access core business
16    good pay flex working hour culture multi natio...
21                                  special good people
Name: Pros_cleaned, dtype: object

Then, I performed text clustering on the same column and dataset by using ‘CountVectorizer’ or the Bag-of-Words (BoW) representation with the same ‘ngram_range’ to compare the effectiveness of these two approaches in clustering the text data.*

# Initialize CountVectorizer with ngram_range for single words, bigrams, and trigrams
db_pros_vectorizer_bow = CountVectorizer(ngram_range=(1, 3), max_features=5)  

# Fit and transform the 'Pros_cleaned' text data into bag-of-words model
db_pros_bow_matrix = db_pros_vectorizer_bow.fit_transform(db['Pros_cleaned'])

# Get the feature names (i.e., the words or bigrams)
feature_names = db_pros_vectorizer_bow.get_feature_names_out()
# Convert feature names from dict_keys object to list
feature_names = list(feature_names)

# Define the number of clusters
db_pros_num_clusters_bow = 5

# Initialize KMeans with the desired number of clusters
kmeans = KMeans(n_clusters=db_pros_num_clusters_bow, random_state=42)
# Fit KMeans on the bag-of-words data
kmeans.fit(db_pros_bow_matrix)
# Predict the cluster labels for each document
db_pros_clusters_bow = kmeans.labels_

# Add cluster labels to your DataFrame
db['db_Pros_cluster_bow'] = db_pros_clusters_bow
for i in range(db_pros_num_clusters_bow):
    print(f"Cluster {i} texts:")
    print(db[db['db_Pros_cluster_bow'] == i]['Pros_cleaned'].head())
    print("\n")

Cluster 0 texts:
0     environment team open competitive people kind ...
1           deutsche bank germany kind involve big deal
3                                    flexible work week
6                                    helpful job seeker
10                 amazing worklife balance flexibility
Name: Pros_cleaned, dtype: object


Cluster 1 texts:
33     good benefit good support hr technology good w...
119                  good culture good work good project
122             good work life balance good work culture
192                  good benefit good work life balance
Name: Pros_cleaned, dtype: object


Cluster 2 texts:
9     facility relax work hour opportunity look team...
31                                 good atmosphere work
34               good pay work expectation work culture
41    great leader technology division nice colleagu...
51                                 good people work env
Name: Pros_cleaned, dtype: object


Cluster 3 texts:
4                  trading floor experience good social
7             friendly helpful environment good payment
14                            good access core business
16    good pay flex working hour culture multi natio...
21                                  special good people
Name: Pros_cleaned, dtype: object


Cluster 4 texts:
2                 job stand good work life balance
5     flexible working hour good work life balance
8                       work life balance pay okay
12        stable employment good work life balance
19                          good work life balance
Name: Pros_cleaned, dtype: object

Then, I applied the elbow method to represent how the within-cluster sum of squares (WCSS) decreases as the number of clusters increases and find the optimal number of clusters, for two different text data vectorizations: TFIDF (blue line) and BoW (green line).

plt.figure(figsize=(20, 8))  # Set a larger figure size for two subplots

# Calculate WCSS for TFIDF
wcss_tfidf = []
for i in range(1, 11):
    kmeans = KMeans(n_clusters=i, init='k-means++', max_iter=300, n_init=10, random_state=42)
    kmeans.fit(db_pros_tfidf_matrix)
    wcss_tfidf.append(kmeans.inertia_)

# Calculate WCSS for BoW
wcss_bow = []
for i in range(1, 11):
    kmeans = KMeans(n_clusters=i, init='k-means++', max_iter=300, n_init=10, random_state=42)
    kmeans.fit(db_pros_bow_matrix)
    wcss_bow.append(kmeans.inertia_)

# First subplot for TFIDF
plt.subplot(1, 2, 1)
plt.plot(range(1, 11), wcss_tfidf, marker='o', color='blue', label='TFIDF')
plt.title('The Elbow Method (TFIDF) for Positive Reviews of Deutsche Bank')
plt.xlabel('Number of clusters')
plt.ylabel('WCSS')
plt.legend()

# Second subplot for BoW
plt.subplot(1, 2, 2)
plt.plot(range(1, 11), wcss_bow, marker='o', color='green', label='BoW')
plt.title('The Elbow Method (BoW) for Positive Reviews of Deutsche Bank')
plt.xlabel('Number of clusters')
plt.ylabel('WCSS')
plt.legend()
plt.tight_layout()
plt.show()

From both graphs, it shows that the optimal number of clusters is 5 as a suitable choice for both vectorization methods (TFIDF and BoW), indicating that increasing the number of clusters beyond 5 will not yield significantly more distinguished.

To compare the effectiveness of these two approaches in clustering the text data, I calculated silhouette scores for each representation. The silhouette scores provide insights into the quality of clustering achieved with each representation. The silhouette score ranges from -1 to 1, where a score closer to 1 indicates that the object is well-clustered, a score around 0 indicates overlapping clusters, and a negative score indicates that the object may be assigned to the wrong cluster.

# Calculate silhouette score for TFIDF and BoW
db_pros_score_tfidf = silhouette_score(db_pros_tfidf_matrix, db_pros_clusters_tfidf)
print(f"Silhouette Score (TFIDF): {db_pros_score_tfidf}")
db_pros_score_bow = silhouette_score(db_pros_bow_matrix, db_pros_clusters_bow)
print(f"Silhouette Score (BoW): {db_pros_score_bow}")

Silhouette Score (TFIDF): 0.8456017640971961
Silhouette Score (BoW): 0.6590811531491754

Based on the results shown, higher silhouette scores generally indicate better clustering quality, suggesting that the TF-IDF representation, with a score of ~0.85, may have led to more distinct and well-separated clusters compared to the BoW representation, with a score of ~0.66.

After that, I generated word clouds for each cluster in the dataset based on the TF-IDF and BoW representations of the ‘Pros_cleaned’ data to represent key themes and topics within each cluster, offering insights into employees feedback for organizational improvements.

# Combine all text in each cluster into a single string
db_pros_clustertexts_tfidf = ["".join(db[db['db_Pros_cluster'] == i]['Pros_cleaned']) for i in range(db_pros_num_clusters_tfidf)]

plt.figure(figsize=(15, 10))
for i in range(db_pros_num_clusters_tfidf):
    wordcloud_tfidf = WordCloud(width=800, height=400, background_color='white', colormap= 'viridis').generate(db_pros_clustertexts_tfidf[i])
    plt.subplot(3, 3, i+1)  # Adjust subplot parameters as per your number of clusters
    plt.imshow(wordcloud_tfidf, interpolation='bilinear')
    plt.title(f'Cluster {i} Word Cloud (TFIDF)')
    plt.axis('off')
plt.show()

As shown, cluster 0 focuses on teamwork and the work opportunities, cluster 1 emphasizes good colleagues and management, cluster 2 highlights work-life balance and benefits, cluster 3 points to diverse and flexible work environment, and cluster 4 mentions good working experiences.

# Combine all text in each cluster into a single string
db_pros_clustertexts_bow = ["".join(db[db['db_Pros_cluster_bow'] == i]['Pros_cleaned']) for i in range(db_pros_num_clusters_bow)]

plt.figure(figsize=(15, 10))
for i in range(db_pros_num_clusters_bow):
    wordcloud_bow = WordCloud(width=800, height=400, background_color='white', colormap= 'viridis').generate(db_pros_clustertexts_bow[i])
    plt.subplot(3, 3, i+1)  # Adjust subplot parameters as per your number of clusters
    plt.imshow(wordcloud_bow, interpolation='bilinear')
    plt.title(f'Cluster {i} Word Cloud (BoW)')
    plt.axis('off')
plt.show()

In these word clouds, cluster 0 highlights teamwork and work opportunities, cluster 1 reflects benefits and work-life balance, cluster 2 points to good colleagues and work atmosphere, cluster 3 mentions good working experiences and good environment and cluster 4 emphasizes work-life balance. However, it is noticeable that there are some overlapping topics such as work-life balance in clusters 1 and 4. Therefore, I could safely say that the BoW approach in this case is not showing the uniqueness of the text data as strong as the TF-IDF.

After conducting text clustering using TF-IDF and Bag-of-Words (BoW) vectorizations, KMeans clustering algorithm with the elbow method, calculating silhouette scores, and generating a series of word clouds, it appears that TF-IDF vectorization is better at capturing the nuances and uniqueness of the text data, which is particularly useful in sentiment analysis. Therefore, I will use TF-IDF vectorization for the subsequent sentiment analysis of the remaining job reviews.

In the next step, I generated summaries for each cluster, highlighting the key values expressed in the positive reviews of Deutsche Bank.

# Tokenize and preprocess texts in each cluster
db_pros_cluster_texts = [db[db['db_Pros_cluster'] == i]['Pros_cleaned'] for i in range(db_pros_num_clusters_tfidf)]
db_pros_cluster_keywords = []

for texts in db_pros_cluster_texts:
    # Concatenate all texts in the cluster
    cluster_text = ' '.join(texts)
    # Tokenize and preprocess the concatenated text
    cluster_tokens = preprocess(cluster_text)
    # Extract unigrams, bigrams, and trigrams
    n = 3 # You can adjust this value to get n-grams of different lengths
    db_pros_cluster_ngrams = list(ngrams(cluster_tokens, n))
    # Count n-gram frequencies
    ngram_freq = Counter(db_pros_cluster_ngrams)
    # Select top keywords (you can adjust the number of keywords as needed)
    top_keywords = ngram_freq.most_common(5)  # Select top 10 n-grams
    # Append selected keywords to the cluster_keywords list
    db_pros_cluster_keywords.append([keyword for keyword, _ in top_keywords])

# Create cluster summaries based on selected keywords
db_pros_cluster_summaries = []
for i, keywords_list in enumerate(db_pros_cluster_keywords):
    # Extract only the n-grams from each tuple in keywords_list
    keywords = [' '.join(keyword) for keyword in keywords_list]
    db_pros_summary = f"Cluster {i} Summary: Individuals in this cluster value {', '.join(keywords)}."
    db_pros_cluster_summaries.append(db_pros_summary)

# Print cluster summaries
for db_pros_summary in db_pros_cluster_summaries:
    print(db_pros_summary)

Cluster 0 Summary: Individuals in this cluster value steep learning curve, environment team open, team open competitive, open competitive people, competitive people kind.
Cluster 1 Summary: Individuals in this cluster value good atmosphere work, atmosphere work good, work good pay, good pay work, pay work expectation.
Cluster 2 Summary: Individuals in this cluster value work life balance, good work life, life balance good, balance good work, life balance work.
Cluster 3 Summary: Individuals in this cluster value flexible work week, work week facility, week facility relax, facility relax work, relax work hour.
Cluster 4 Summary: Individuals in this cluster value good benefit good, good culture good, trading floor experience, floor experience good, experience good social.

As shown, cluster 0 highlights growth opportunities and a supportive team environment. Meanwhile, cluster 1 mentions a positive work atmosphere and fair compensation. Cluster 2 emphasizes work-life balance, while cluster 3 appreciates flexible work arrangements. Finally, cluster 4 points to benefits, fostering a positive culture, and providing enriching experiences.

Then, I created a visualization to show the distribution of positive comments at Deutsche Bank across different clusters.

# Count the number of data points in each cluster
db_pros_cluster_counts = db['db_Pros_cluster'].value_counts()

# Define custom colors 
blue_custom_colors = plt.cm.Blues(np.linspace(0.2, 1, 10))
darkblue_custom_color = ['darkblue' for _ in range(len(db_pros_cluster_counts))]

fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(20, 10))

# Create a pie chart in the first and second subplot
axes[0].pie(db_pros_cluster_counts.values, labels=db_pros_cluster_counts.index, autopct='%1.1f%%', startangle=140, colors=blue_custom_colors)
axes[0].set_title('Proportion of Data Points in Clusters\nof Positive Comments in Deutsche Bank')
axes[0].axis('equal') 

bars = axes[1].bar(db_pros_cluster_counts.index, db_pros_cluster_counts.values, color=darkblue_custom_color)
axes[1].set_xlabel('Cluster')
axes[1].set_ylabel('Number of Data Points')
axes[1].set_title('Distribution of Data Points in Clusters\nof Positive Comments in Deutsche Bank')
for bar in bars:
    yval = bar.get_height()
    axes[1].text(bar.get_x() + bar.get_width()/2, yval, f'{yval}', ha='center', va='bottom')
plt.tight_layout()
plt.show()

This visual analysis shows that Cluster 0 holds the majority with 48% or 96 comments, implying that employees appreciate teamwork and the work opportunities the most. Clusters 2 and 4 have a substantial amount of comments, with 32 (16%) and 42 (21%),respectively, reflecting that employees have work-life balance and good working experiences.

(2) Clustering Negative Reviews about Working in Deutsche Bank

Then, I performed text clustering on the 'Cons_cleaned' data from the 'db' dataset using the TF-IDF representation with the same ‘ngram range’ as before, including the elbow method and silhouette score. Moreover, I generated wordclouds and word summaries for each cluster to show the key themes of the negative reviews from their Deutsche Bank’s employees.

# Initialize TfidfVectorizer with ngram_range for single words, bigrams, and trigrams
db_cons_vectorizer = TfidfVectorizer(ngram_range=(1, 3), max_features=5)

# Fit and transform the entire preprocessed text data into TF-IDF model for Cons
db_cons_matrix = db_cons_vectorizer.fit_transform(db['Cons_cleaned'])

# Define the number of clusters
db_cons_num_clusters = 6 

# Initialize KMeans with the desired number of clusters
kmeans = KMeans(n_clusters=db_cons_num_clusters, random_state=42)

# Fit KMeans on the TF-IDF data
kmeans.fit(db_cons_matrix)

# Predict the cluster labels for each document
db_cons_clusters = kmeans.labels_

# Add cluster labels to your DataFrame
db['db_Cons_cluster'] = db_cons_clusters

# Sample analysis: Print texts belonging to a specific cluster
for i in range(db_cons_num_clusters):
    print(f"Cluster {i} texts:")
    print(db[db['db_Cons_cluster'] == i]['Cons_cleaned'].head())
    print("\n")

Cluster 0 texts:
16    usual large bank like bureaucracy poor hr proc...
19    process long include hire horizontal mobility ...
57                              chaotic process forever
74                          complex system slow process
79                                     lot process slow
Name: Cons_cleaned, dtype: object


Cluster 1 texts:
0                            temporary contract salary
1     globally lack bb bank keep closely ensure low bb
3                        corona time difficult network
6                                       not know thank
7    heavy workload week little understanding workl...
Name: Cons_cleaned, dtype: object


Cluster 2 texts:
34              exactly expect big company hard upwards
46                               bad experience company
60    big company bureaucracy finance sector mean se...
62                     big company process bureaucratic
84                                 ofcourse big company
Name: Cons_cleaned, dtype: object


Cluster 3 texts:
4         monotone work good training
9       responsibility lot admin work
17          work hour typical ib hour
22    challagne work life balance etc
30                     alot work hour
Name: Cons_cleaned, dtype: object


Cluster 4 texts:
2                           challenging career beginner
5                        career development opportunity
14              little mentorship vague career prospect
47    unfortunately salty high range company field d...
52                 slow career progression hard promote
Name: Cons_cleaned, dtype: object


Cluster 5 texts:
12                slow growth need push hard thing move
18    slow move easily burn devoted innovate establi...
25    slow promotion clear communication promotion b...
36              slow movement new technology stack date
44                                     slow upper level
Name: Cons_cleaned, dtype: object

plt.figure(figsize=(20, 8))  # Set a larger figure size for two subplots

# Calculate WCSS for TFIDF
wcss_tfidf = []
for i in range(1, 11):
    kmeans = KMeans(n_clusters=i, init='k-means++', max_iter=300, n_init=10, random_state=42)
    kmeans.fit(db_cons_matrix)
    wcss_tfidf.append(kmeans.inertia_)

# Plot the elbow curve for TFIDF
plt.plot(range(1, 11), wcss_tfidf, marker='o', color='blue', label='TF-IDF')

# Add labels and title
plt.title('The Elbow Method (TF-IDF) for Negative Reviews of Deutsche Bank')
plt.xlabel('Number of Clusters')
plt.ylabel('Within-Cluster Sum of Squares (WCSS)')
plt.legend()
plt.tight_layout()
plt.show()

# Calculate silhouette score
db_cons_score = silhouette_score(db_cons_matrix, db_cons_clusters)
print(f"Silhouette Score (TFIDF): {db_cons_score}")

Silhouette Score (TFIDF): 0.883859153834744

Based on the elbow method and silhouette score analysis, I selected 6 clusters to categorize the negative reviews of Deutsche Bank, achieving a silhouette score of approximately 0.88.

Then, I created word clouds and top-5-word summaries of each cluster to discover the prominent themes among the negative feedback from N26’s employees.

# Combine all text in each cluster into a single string
db_cons_clusters = ["".join(db[db['db_Cons_cluster'] == i]['Cons_cleaned']) for i in range(db_cons_num_clusters)]

# Generate word clouds for each cluster
plt.figure(figsize=(15, 10))
for i in range(db_cons_num_clusters):
    # Check if the cluster has any words
    if db_cons_clusters[i]:
        wordcloud = WordCloud(width=800, height=400, background_color='white', colormap='magma').generate(db_cons_clusters[i])
        plt.subplot(3, 3, i+1)  # Adjust subplot parameters as per your number of clusters
        plt.imshow(wordcloud, interpolation='bilinear')
        plt.title(f'Cluster {i} Word Cloud (TFIDF)')
        plt.axis('off')
    else:
        print(f"Cluster {i} has no words.")
plt.show()

# Tokenize and preprocess texts in each cluster
db_cons_cluster_texts = [db[db['db_Cons_cluster'] == i]['Cons_cleaned'] for i in range(db_cons_num_clusters)]
db_cons_cluster_keywords = []

for texts in db_cons_cluster_texts:
    # Concatenate all texts in the cluster
    cluster_text = ' '.join(texts)
    # Tokenize and preprocess the concatenated text
    cluster_tokens = preprocess(cluster_text)
    # Extract unigrams, bigrams, and trigrams
    n = 3  # You can adjust this value to get n-grams of different lengths
    db_cons_cluster_ngrams = list(ngrams(cluster_tokens, n))
    # Count n-gram frequencies
    ngram_freq = Counter(db_cons_cluster_ngrams)
    # Select top keywords (you can adjust the number of keywords as needed)
    top_keywords = ngram_freq.most_common(5)  # Select top 10 n-grams
    # Append selected keywords to the cluster_keywords list
    db_cons_cluster_keywords.append([keyword for keyword, _ in top_keywords])

# Create cluster summaries based on selected keywords
db_cons_cluster_summaries = []
for i, keywords_list in enumerate(db_cons_cluster_keywords):
    # Extract only the n-grams from each tuple in keywords_list
    keywords = [' '.join(keyword) for keyword in keywords_list]
    db_cons_summary = f"Cluster {i} Summary: Individuals in this cluster value {', '.join(keywords)}."
    db_cons_cluster_summaries.append(db_cons_summary)

# Print cluster summaries
for db_cons_summary in db_cons_cluster_summaries:
    print(db_cons_summary)

Cluster 0 Summary: Individuals in this cluster value usual large bank, large bank like, bank like bureaucracy, like bureaucracy poor, bureaucracy poor hr.
Cluster 1 Summary: Individuals in this cluster value promotion low pay, temporary contract salary, contract salary globally, salary globally lack, globally lack bb.
Cluster 2 Summary: Individuals in this cluster value exactly expect big, expect big company, big company hard, company hard upwards, hard upwards bad.
Cluster 3 Summary: Individuals in this cluster value work life balance, bad work life, monotone work good, work good training, good training responsibility.
Cluster 4 Summary: Individuals in this cluster value challenging career beginner, career beginner career, beginner career development, career development opportunity, development opportunity little.
Cluster 5 Summary: Individuals in this cluster value slow growth need, growth need push, need push hard, push hard thing, hard thing slow.

As you can see, cluster 0 shows dissatisfaction with typical large bank bureaucracy and poor HR practices. Cluster 1 emphasizes concerns about low pay, temporary contracts, and a lack of promotion opportunities. Cluster 2 expresses disappointment in unrealistic expectations and challenges within a big company. Cluster 3 identifies issues with work-life balance. Cluster 4 expresses frustrations with limited career development opportunities. Finally, cluster 5 highlights concerns about slow career growth and the need for more challenging opportunities.

Then, I created the visualization to illustrate the distribution of Deutsche Bank’s negative comments across various clusters.

# Count the number of data points in each cluster
db_cons_cluster_counts = db['db_Cons_cluster'].value_counts()

# Define custom colors for the pie chart
red_custom_colors = plt.cm.Reds(np.linspace(0.2, 1, 10))
# Define custom colors for the bar chart
darkred_custom_color = ['darkred' for _ in range(len(db_cons_cluster_counts))]

# Create a 1x2 subplot layout
fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(20, 10))

# Create a pie chart in the first subplot
axes[0].pie(db_cons_cluster_counts.values, labels=db_cons_cluster_counts.index, autopct='%1.1f%%', startangle=140, colors=red_custom_colors)
axes[0].set_title('Proportion of Data Points in Clusters\nof Negative Comments in Deutsche Bank')
axes[0].axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.

# Create a bar plot in the second subplot
bars = axes[1].bar(db_cons_cluster_counts.index, db_cons_cluster_counts.values, color=darkred_custom_color)
axes[1].set_xlabel('Cluster')
axes[1].set_ylabel('Number of Data Points')
axes[1].set_title('Distribution of Data Points in Clusters\nof Negative Comments in Deutsche Bank')

# Add count and percentage labels on the bar plot
for bar in bars:
    yval = bar.get_height()
    axes[1].text(bar.get_x() + bar.get_width()/2, yval, f'{yval}', ha='center', va='bottom')
    #percent = f'{100 * yval / len(db):.1f}%'
    #axes[1].text(bar.get_x() + bar.get_width()/2, yval, f'({percent})', ha='center', va='top', color='white')

# Adjust the layout so there's no overlap
plt.tight_layout()
plt.show()

Noticeably, cluster 1 emerges with the largest share, comprising 55.5% or 111 comments, indicative of prevalent concerns regarding low pay and a lack of promotion opportunities among employees. Additionally, cluster 2 also exhibits a significant volume of comments, representing 16% or 32 comments, highlighting work-life balance as another prominent theme of dissatisfaction.

(3) Clustering Positive Reviews about Working in N26

To uncover the main themes within N26's positive reviews, I conducted text clustering on the 'Pros_cleaned' data from the 'n26' dataset. Employing methods similar to those used previously, I adjusted the ngram range to include only bigrams and trigrams. This modification led to a higher silhouette score and enhanced the uniqueness of the text data.

# Initialize TfidfVectorizer with ngram_range for bigrams and trigrams
n26_pros_vectorizer = TfidfVectorizer(ngram_range=(2, 3), max_features=5)

# Fit and transform the entire preprocessed text data into TF-IDF model for Cons
n26_pros_matrix = n26_pros_vectorizer.fit_transform(n26['Pros_cleaned'])

# Define the number of clusters
n26_pros_num_clusters = 5

# Initialize KMeans with the desired number of clusters
kmeans = KMeans(n_clusters=n26_pros_num_clusters, random_state=42)

# Fit KMeans on the TF-IDF data
kmeans.fit(n26_pros_matrix)

# Predict the cluster labels for each document
n26_pros_clusters = kmeans.labels_

# Add cluster labels to your DataFrame
n26['n26_Pros_cluster'] = n26_pros_clusters

# Sample analysis: Print texts belonging to a specific cluster
for i in range(n26_pros_num_clusters):
    print(f"Cluster {i} texts:")
    print(n26[n26['n26_Pros_cluster'] == i]['Pros_cleaned'].head())
    print("\n")

Cluster 0 texts:
0                good team setup solid way work
2                    team nice hard work people
3                 diverse work lot house talent
4    wonderful people work state art tech stack
6                           company interesting
Name: Pros_cleaned, dtype: object


Cluster 1 texts:
32                               great team member work
56                         great team leader management
66            stable salary great team offer relocation
82    meaningful impact project responsibility scope...
95    payrise come year free lunch meal month office...
Name: Pros_cleaned, dtype: object


Cluster 2 texts:
1     work environment relax well works council ente...
10    company fairly diverse interesting lot profess...
43    great work environment nice people great flexi...
61    work environment leadership interesting work d...
96                  nice work environment nice employee
Name: Pros_cleaned, dtype: object


Cluster 3 texts:
5                               good place work general
64    comparison place normal salary normal benefit ...
72    great company work especially sr tdm environme...
78                     great place work friendly people
92    team great love work flexible workplace homeof...
Name: Pros_cleaned, dtype: object


Cluster 4 texts:
31     work life balance flexibility good benefit gre...
51           young environment perfect work life balance
85       work life balance good team diversity inclusion
91                      good work life balance structure
100    work life balance team support work environmen...
Name: Pros_cleaned, dtype: object

plt.figure(figsize=(20, 8))  # Set a larger figure size for two subplots

# Calculate WCSS for TFIDF
wcss_tfidf = []
for i in range(1, 11):
    kmeans = KMeans(n_clusters=i, init='k-means++', max_iter=300, n_init=10, random_state=42)
    kmeans.fit(n26_pros_matrix)
    wcss_tfidf.append(kmeans.inertia_)

# Plot the elbow curve for TFIDF
plt.plot(range(1, 11), wcss_tfidf, marker='o', color='blue', label='TF-IDF')

# Add labels and title
plt.title('The Elbow Method (TF-IDF) for Positive Reviews of N26')
plt.xlabel('Number of Clusters')
plt.ylabel('Within-Cluster Sum of Squares (WCSS)')
plt.legend()
plt.tight_layout()
plt.show()

# Calculate silhouette score
n26_pros_score = silhouette_score(n26_pros_matrix, n26_pros_clusters)
print(f"Silhouette Score (TFIDF): {n26_pros_score}")

Silhouette Score (TFIDF): 0.9830744032652657

Based on the elbow method and silhouette score, 5 clusters is effective to categorize the positive reviews of N26, achieving a silhouette score of approximately 0.98.

Then, I created word clouds and top-10-word summaries of each cluster to discover the prevalent topics emerging from the positive feedback from N26’s employees.

# Combine all text in each cluster into a single string
n26_pros_cluster_texts = ["".join(n26[n26['n26_Pros_cluster'] == i]['Pros_cleaned']) for i in range(n26_pros_num_clusters)]

# Generate word clouds for each cluster
plt.figure(figsize=(15, 10))
for i in range(n26_pros_num_clusters):
    wordcloud = WordCloud(width=800, height=400, background_color='white', colormap= 'viridis').generate(n26_pros_cluster_texts[i])
    plt.subplot(3, 3, i+1)  # Adjust subplot parameters as per your number of clusters
    plt.imshow(wordcloud, interpolation='bilinear')
    plt.title(f'Cluster {i} Word Cloud')
    plt.axis('off')
plt.show()

# Tokenize and preprocess texts in each cluster
n26_pros_cluster_texts = [n26[n26['n26_Pros_cluster'] == i]['Pros_cleaned'] for i in range(n26_pros_num_clusters)]
n26_pros_cluster_keywords = []

for texts in n26_pros_cluster_texts:
    # Concatenate all texts in the cluster
    cluster_text = ' '.join(texts)
    # Tokenize and preprocess the concatenated text
    cluster_tokens = preprocess(cluster_text)
    # Extract unigrams, bigrams, and trigrams
    n = 3  # You can adjust this value to get n-grams of different lengths
    n26_pros_cluster_ngrams = list(ngrams(cluster_tokens, n))
    # Count n-gram frequencies
    ngram_freq = Counter(n26_pros_cluster_ngrams)
    # Select top keywords (you can adjust the number of keywords as needed)
    top_keywords = ngram_freq.most_common(5)  # Select top 10 n-grams
    # Append selected keywords to the cluster_keywords list
    n26_pros_cluster_keywords.append([keyword for keyword, _ in top_keywords])

# Create cluster summaries based on selected keywords
n26_pros_cluster_summaries = []
for i, keywords_list in enumerate(n26_pros_cluster_keywords):
    # Extract only the n-grams from each tuple in keywords_list
    keywords = [' '.join(keyword) for keyword in keywords_list]
    n26_pros_summary = f"Cluster {i} Summary: Individuals in this cluster value {', '.join(keywords)}."
    n26_pros_cluster_summaries.append(n26_pros_summary)

# Print cluster summaries
for n26_pros_summary in n26_pros_cluster_summaries:
    print(n26_pros_summary)

Cluster 0 Summary: Individuals in this cluster value good worklife balance, team flexible working, learning curve good, steep learning curve, personal development budget.
Cluster 1 Summary: Individuals in this cluster value great team member, team member work, member work great, work great team, great team leader.
Cluster 2 Summary: Individuals in this cluster value great work environment, etc great work, work environment nice, nice work environment, work environment lot.
Cluster 3 Summary: Individuals in this cluster value great place work, good place work, place work general, work general comparison, general comparison place.
Cluster 4 Summary: Individuals in this cluster value work life balance, good team diversity, good work life, life balance flexibility, balance flexibility good.

As shown, cluster 0 reflects flexible team dynamics and opportunities for personal development. Cluster 1 appreciates the strength of teamwork, while cluster 2 highlights a supportive and pleasant work environment. Cluster 3 points N26 to a great place to work. Lastly, cluster 4 highlights work-life balance, the diversity of the team, and the flexibility provided.

Then, I created the visualization as below to illustrate the distribution of N26’s negative comments across various clusters

# Count the number of data points in each cluster
n26_pros_cluster_counts = n26['n26_Pros_cluster'].value_counts()

# Define custom colors
green_custom_colors = plt.cm.Greens(np.linspace(0.2, 1, 10))
seagreen_custom_color = ['seagreen' for _ in range(len(n26_pros_cluster_counts))]

# Create a 1x2 subplot layout
fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(20, 10))

# Create a pie chart in the first subplot
axes[0].pie(n26_pros_cluster_counts.values, labels=n26_pros_cluster_counts.index, autopct='%1.1f%%', startangle=140, colors=green_custom_colors)
axes[0].set_title('Proportion of Data Points in Clusters\nof Positive Comments in N26')
axes[0].axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.

# Create a bar plot in the second subplot
bars = axes[1].bar(n26_pros_cluster_counts.index, n26_pros_cluster_counts.values, color=seagreen_custom_color)
axes[1].set_xlabel('Cluster')
axes[1].set_ylabel('Number of Data Points')
axes[1].set_title('Distribution of Data Point in Clusters\nof Positive Comments in N26')

# Add count and percentage labels on the bar plot
for bar in bars:
    yval = bar.get_height()
    axes[1].text(bar.get_x() + bar.get_width()/2, yval, f'{yval}', ha='center', va='bottom')

# Adjust the layout so there's no overlap
plt.tight_layout()
plt.show()

This visualization reveals that cluster 0 is predominant with 81% or 162 comments, indicating that employees are satisfied with flexible team dynamics and opportunities for personal development the most. Clusters 1 and 2 each account for 5% of the comments, reflecting that employees appreciate the strength of teamwork and a supportive and pleasant work environment.

(4) Clustering Negative Reviews about Working in N26

Lastly, I performed text clustering on the 'Cons_cleaned' data from the 'n26' dataset with similar methods and the ngram range as previously to find the main themes within N26's positive reviews.

# Initialize TfidfVectorizer with ngram_range for bigrams and trigrams
n26_cons_vectorizer = TfidfVectorizer(ngram_range=(2, 3), max_features=5)

# Fit and transform the entire preprocessed text data into TF-IDF model for Cons
n26_cons_matrix = n26_cons_vectorizer.fit_transform(n26['Cons_cleaned'])

# Define the number of clusters
n26_cons_num_clusters = 5

# Initialize KMeans with the desired number of clusters
kmeans = KMeans(n_clusters=n26_cons_num_clusters, random_state=42)

# Fit KMeans on the TF-IDF data
kmeans.fit(n26_cons_matrix)

# Predict the cluster labels for each document
n26_cons_clusters = kmeans.labels_

# Add cluster labels to your DataFrame
n26['n26_Cons_cluster'] = n26_cons_clusters

# Sample analysis: Print texts belonging to a specific cluster
for i in range(n26_cons_num_clusters):
    print(f"Cluster {i} texts:")
    print(n26[n26['n26_Cons_cluster'] == i]['Cons_cleaned'].head())
    print("\n")

Cluster 0 texts:
0    management crisis high turnover management lev...
1    management ready listen opinion different thei...
2    manager company support wonderful people contr...
3                   uncertainty organisation direction
4    project workflow lose thread change happen eas...
Name: Cons_cleaned, dtype: object


Cluster 1 texts:
116    poor process handle difficult company culture ...
127    people leave company believe interin position ...
175    founder boy club austrians care money company ...
178    ceo baby work end quit dominos effect people l...
184    leadership hr extremely qualified lead insecur...
Name: Cons_cleaned, dtype: object


Cluster 2 texts:
18     hear not experience upper management toxic dem...
19     lot technical debt compliance requirement bure...
64     terrible management constant change team struc...
164    main issue imho upper management direction com...
199    experience month not positive change bad polit...
Name: Cons_cleaned, dtype: object


Cluster 3 texts:
94           little work life balance little flexibility
110    middle management head etc problematic not com...
132                              work life balance great
173    work life balance minimal development option o...
Name: Cons_cleaned, dtype: object


Cluster 4 texts:
11      terrible management lot people department leave
34      company terrible management issue communication
67    terrible management transparency employee valu...
90                          terrible management culture
Name: Cons_cleaned, dtype: object

plt.figure(figsize=(20, 8))  # Set a larger figure size for two subplots

# Calculate WCSS for TFIDF
wcss_tfidf = []
for i in range(1, 11):
    kmeans = KMeans(n_clusters=i, init='k-means++', max_iter=300, n_init=10, random_state=42)
    kmeans.fit(n26_cons_matrix)
    wcss_tfidf.append(kmeans.inertia_)

# Plot the elbow curve for TFIDF
plt.plot(range(1, 11), wcss_tfidf, marker='o', color='blue', label='TF-IDF')

# Add labels and title
plt.title('The Elbow Method for TF-IDF Representation')
plt.xlabel('Number of Clusters')
plt.ylabel('Within-Cluster Sum of Squares (WCSS)')
plt.legend()
plt.tight_layout()
plt.show()

# Calculate silhouette score
n26_cons_score = silhouette_score(n26_cons_matrix, n26_cons_clusters)
print(f"Silhouette Score: {n26_cons_score}")

Silhouette Score: 0.991173165676349

Regarding the elbow method and silhouette score, 5 clusters were determined as effective for categorizing the negative reviews of N26, achieving a silhouette score of approximately 0.99.

Subsequently, I generated word clouds and summarized the top 5 words for each cluster to uncover prevalent topics within the negative feedback from N26’s employees.

# Combine all text in each cluster into a single string
n26_cons_cluster_texts = ["".join(n26[n26['n26_Cons_cluster'] == i]['Cons_cleaned']) for i in range(n26_cons_num_clusters)]

# Generate word clouds for each cluster
plt.figure(figsize=(15, 10))
for i in range(n26_cons_num_clusters):
    wordcloud = WordCloud(width=800, height=400, background_color='white', colormap= 'magma').generate(n26_cons_cluster_texts[i])
    plt.subplot(3, 3, i+1)  # Adjust subplot parameters as per your number of clusters
    plt.imshow(wordcloud, interpolation='bilinear')
    plt.title(f'Cluster {i} Word Cloud')
    plt.axis('off')
plt.show()

# Tokenize and preprocess texts in each cluster
n26_cons_cluster_texts = [n26[n26['n26_Cons_cluster'] == i]['Cons_cleaned'] for i in range(n26_cons_num_clusters)]
n26_cons_cluster_keywords = []

for texts in n26_cons_cluster_texts:
    # Concatenate all texts in the cluster
    cluster_text = ' '.join(texts)
    # Tokenize and preprocess the concatenated text
    cluster_tokens = preprocess(cluster_text)
    # Extract unigrams, bigrams, and trigrams
    n = 3  # You can adjust this value to get n-grams of different lengths
    n26_cons_cluster_ngrams = list(ngrams(cluster_tokens, n))
    # Count n-gram frequencies
    ngram_freq = Counter(n26_cons_cluster_ngrams)
    # Select top keywords (you can adjust the number of keywords as needed)
    top_keywords = ngram_freq.most_common(5)  # Select top 10 n-grams
    # Append selected keywords to the cluster_keywords list
    n26_cons_cluster_keywords.append([keyword for keyword, _ in top_keywords])

# Create cluster summaries based on selected keywords
n26_cons_cluster_summaries = []
for i, keywords_list in enumerate(n26_cons_cluster_keywords):
    # Extract only the n-grams from each tuple in keywords_list
    keywords = [' '.join(keyword) for keyword in keywords_list]
    n26_cons_summary = f"Cluster {i} Summary: Individuals in this cluster value {', '.join(keywords)}."
    n26_cons_cluster_summaries.append(n26_cons_summary)

# Print cluster summaries
for n26_cons_summary in n26_cons_cluster_summaries:
    print(n26_cons_summary)

Cluster 0 Summary: Individuals in this cluster value politic work council, high employee turnover, operation department extremely, management crisis high, crisis high turnover.
Cluster 1 Summary: Individuals in this cluster value poor process handle, process handle difficult, handle difficult company, difficult company culture, company culture people.
Cluster 2 Summary: Individuals in this cluster value hear experience upper, experience upper management, upper management toxic, management toxic demanding, toxic demanding couple.
Cluster 3 Summary: Individuals in this cluster value work life balance, little work life, life balance little, balance little flexibility, little flexibility middle.
Cluster 4 Summary: Individuals in this cluster value terrible management lot, management lot people, lot people department, people department leave, department leave company.

As shown, cluster 0 reflects concerns about internal politics, high turnover rates, and crises within the management. Cluster 1 highlights criticisms on poor handling of processes, reflecting frustration with the company's workflow management and organizational culture, while cluster 2 emphasizes their experiences with upper management, highlighting toxicity and demanding behavior Cluster 3 points to lacking of work-life balance and flexibility. Lastly, cluster 4 highlights ineffective management practices and a high rate of turnover within departments.

# Count the number of data points in each cluster
n26_cons_cluster_counts = n26['n26_Cons_cluster'].value_counts()

# Define custom colors for the pie chart
red_custom_colors = plt.cm.Reds(np.linspace(0.2, 1, 10))
# Define custom colors for the bar chart
indianred_custom_color = ['indianred' for _ in range(len(n26_cons_cluster_counts))]

# Create a 1x2 subplot layout
fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(20, 10))

# Create a pie chart in the first subplot
axes[0].pie(n26_cons_cluster_counts.values, labels=n26_cons_cluster_counts.index, autopct='%1.1f%%', startangle=140, colors=red_custom_colors)
axes[0].set_title('Proportion of Data Points in Clusters\nof Negative Comments in N26')
axes[0].axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.

# Create a bar plot in the second subplot
bars = axes[1].bar(n26_cons_cluster_counts.index, n26_cons_cluster_counts.values, color=indianred_custom_color)
axes[1].set_xlabel('Cluster')
axes[1].set_ylabel('Number of Data Points')
axes[1].set_title('Distribution of Data Points in Clusters\nof Negative Comments in N26')

# Add count and percentage labels on the bar plot
for bar in bars:
    yval = bar.get_height()
    axes[1].text(bar.get_x() + bar.get_width()/2, yval, f'{yval}', ha='center', va='bottom')
    #percent = f'{100 * yval / len(db):.1f}%'
    #axes[1].text(bar.get_x() + bar.get_width()/2, yval, f'({percent})', ha='center', va='top', color='white')

# Adjust the layout so there's no overlap
plt.tight_layout()
plt.show()

It is noticeable that cluster 0 stands out with the largest share, encompassing 91% or 162 comments, indicating that employee have concerns regarding internal politics, high turnover rates, and management crises the most. This suggests dissatisfaction with the organizational environment and instability in leadership.

3.4 Employee Sentiment Analysis

For this section, I calculated the average sentiment scores for positive (‘Pros_cleaned’) and negative (‘Cons_cleaned’) comments from Deutsche Bank and N26’s employees first.

from textblob import TextBlob
        
def analyze_sentiment(text):
    blob = TextBlob(text)
    return blob.sentiment.polarity

db['Pros_Sentiment_Cleaned'] = db['Pros_cleaned'].apply(analyze_sentiment)
db['Cons_Sentiment_Cleaned'] = db['Cons_cleaned'].apply(analyze_sentiment)

n26['Pros_Sentiment_Cleaned'] = n26['Pros_cleaned'].apply(analyze_sentiment)
n26['Cons_Sentiment_Cleaned'] = n26['Cons_cleaned'].apply(analyze_sentiment)

# Calculate average sentiment score for Pros_cleaned and Cons_cleaned in both datasets
average_db_pros_sentiment = db['Pros_Sentiment_Cleaned'].mean()
average_db_cons_sentiment = db['Cons_Sentiment_Cleaned'].mean()

average_n26_pros_sentiment = n26['Pros_Sentiment_Cleaned'].mean()
average_n26_cons_sentiment = n26['Cons_Sentiment_Cleaned'].mean()

print("Average Positive Sentiment (Pros_cleaned) for Deutsche Bank:", average_db_pros_sentiment)
print("Average Positive Sentiment (Pros_cleaned) for N26:", average_n26_pros_sentiment)
print("Average Negative Sentiment (Cons_cleaned) for Deutsche Bank:", average_db_cons_sentiment)
print("Average Negative Sentiment (Cons_cleaned) for N26:", average_n26_cons_sentiment)

Average Positive Sentiment (Pros_cleaned) for Deutsche Bank: 0.3794751893939394
Average Positive Sentiment (Pros_cleaned) for N26: 0.3981644866232477
Average Negative Sentiment (Cons_cleaned) for Deutsche Bank: -0.07101827139771993
Average Negative Sentiment (Cons_cleaned) for N26: -0.006574452376800519

As you can see, the average sentiment scores for the positive reviews ('Pros_cleaned') is higher for N26 (~0.398) compared to Deutsche Bank (~0.379), indicating a more positive perception of employee satisfaction at N26 in comparison to Deutsche Bank.

On the negative side,the average sentiment scores for 'Cons_cleaned' is less negative for N26 (~0.006) than for Deutsche Bank (~0.071), indicating that negative comments about N26 are less severe or less frequent than Deutsche Bank.

Then, I created histograms to represent the distribution of sentiment scores for positive ('Pros_cleaned') and negative ('Cons_cleaned') comments from employees at Deutsche Bank and N26. These distributions can provide a visual comparison of employee satisfaction levels between the two banks.

fig, axes = plt.subplots(nrows=1, ncols=2, figsize=(20,6))

# Visualize the distribution of sentiment scores for 'Pros_cleaned' in both datasets
axes[0].hist(db['Pros_Sentiment_Cleaned'], alpha=0.9, color='darkblue', label='Deutsche Bank Pros')
axes[0].hist(n26['Pros_Sentiment_Cleaned'], alpha=0.6, color='mediumseagreen', label='N26 Pros')
axes[0].set_title('Distribution of Positive Sentiment (Pros_cleaned) Scores')
axes[0].set_xlabel('Sentiment Score')
axes[0].set_ylabel('Frequency')
axes[0].legend(loc='upper right')

# Visualize the distribution of sentiment scores for 'Cons_cleaned' in both datasets
axes[1].hist(db['Cons_Sentiment_Cleaned'], alpha=0.9, color='darkblue', label='Deutsche Bank Cons')
axes[1].hist(n26['Cons_Sentiment_Cleaned'], alpha=0.6, color='mediumseagreen', label='N26 Cons')
axes[1].set_title('Distribution of Negative Sentiment (Cons_cleaned) Scores')
axes[1].set_xlabel('Sentiment Score')
axes[1].set_ylabel('Frequency')
axes[1].legend(loc='upper right')

plt.tight_layout()
plt.show()

In the 'Pros_cleaned' histogram, N26 having a slight lead in higher positive sentiment. This suggests that N26's employees might be expressing more positive sentiments in their comments.

On the 'Cons_cleaned' histogram, there is a noticeable difference; Deutsche Bank has more negative feedback compared to N26. This could imply that issues at Deutsche Bank may be more severe or more frequently mentioned than at N26.

In next step, I define a function called ‘sentiment_label’ applied to the positive ('Pros_cleaned') and negative ('Cons_cleaned') review columns of both datasets to analyze sentiment text data and return a sentiment label ('positive', 'negative', or 'neutral') based on the polarity score. The 'sentiment_label' function categorizes the polarity score of text data into three distinct labels: 'positive' if the score is greater than 0, 'negative' if it is less than 0, and 'neutral' if the score is exactly 0.

def sentiment_label(text):
    score = TextBlob(text).sentiment.polarity
    if score > 0:
        return 'positive'
    elif score < 0:
        return 'negative'
    else:
        return 'neutral'

db['Pros_Sentiment_Label'] = db['Pros_cleaned'].apply(sentiment_label)
db['Cons_Sentiment_Label'] = db['Cons_cleaned'].apply(sentiment_label)
n26['Pros_Sentiment_Label'] = n26['Pros_cleaned'].apply(sentiment_label)
n26['Cons_Sentiment_Label'] = n26['Cons_cleaned'].apply(sentiment_label)

Then, I visualize the distribution of sentiment labels for both Deutsche Bank and N26 across positive (‘Pro_cleaned’) and negative (‘Cons_cleaned’) reviews. For readability, I set colors by green for 'positive', orange for 'neutral', and red for 'negative'.

# Count the number of data points in each cluster
db_pros_sentiment = db['Pros_Sentiment_Label'].value_counts()
n26_pros_sentiment = n26['Pros_Sentiment_Label'].value_counts()
db_cons_sentiment = db['Cons_Sentiment_Label'].value_counts()
n26_cons_sentiment = n26['Cons_Sentiment_Label'].value_counts()

# Define custom colors for the bar chart
sentiment_custom_colors = {
    'positive': 'green',
    'neutral': 'orange',
    'negative': 'firebrick'
}

# Create a 2x2 subplot layout
fig, axes = plt.subplots(nrows=2, ncols=2, figsize=(20, 16))

# Plot the distribution of positive sentiment for Deutsche Bank in the first subplot
db_pros_sentiment.plot(kind='bar', ax=axes[0, 0], color=[sentiment_custom_colors[label] for label in db_pros_sentiment.index])
axes[0, 0].set_title('Distribution of Positive Employee Sentiment (Pros_cleaned) while Working at Deutsche Bank')
axes[0, 0].set_xlabel('Sentiment')
axes[0, 0].set_ylabel('Count')
axes[0, 0].tick_params(axis='x', rotation=360)  # Rotate x-axis labels by 360 degrees

# Add count and percentage labels on the bar plot for DB Pros
for index, value in enumerate(db_pros_sentiment.values):
    axes[0, 0].text(index, value, f'{value}\n({value/sum(db_pros_sentiment.values)*100:.1f}%)', ha='center', va='bottom')

# Plot the distribution of positive sentiment for N26 in the second subplot
n26_pros_sentiment.plot(kind='bar', ax=axes[0, 1], color=[sentiment_custom_colors[label] for label in n26_pros_sentiment.index])
axes[0, 1].set_title('Distribution of Positive Employee Sentiment (Pros_cleaned) while Working at N26')
axes[0, 1].set_xlabel('Sentiment')
axes[0, 1].set_ylabel('Count')
axes[0, 1].tick_params(axis='x', rotation=360)  # Rotate x-axis labels by 360 degrees

# Add count and percentage labels on the bar plot for N26 Pros
for index, value in enumerate(n26_pros_sentiment.values):
    axes[0, 1].text(index, value, f'{value}\n({value/sum(n26_pros_sentiment.values)*100:.1f}%)', ha='center', va='bottom')

# Plot the distribution of negative sentiment for Deutsche Bank in the third subplot
db_cons_sentiment.plot(kind='bar', ax=axes[1, 0], color=[sentiment_custom_colors[label] for label in db_cons_sentiment.index])
axes[1, 0].set_title('Distribution of Negative Employee Sentiment (Cons_cleaned) while Working at Deutsche Bank')
axes[1, 0].set_xlabel('Sentiment')
axes[1, 0].set_ylabel('Count')
axes[1, 0].tick_params(axis='x', rotation=360)  # Rotate x-axis labels by 360 degrees

# Add count and percentage labels on the bar plot for DB Cons
for index, value in enumerate(db_cons_sentiment.values):
    axes[1, 0].text(index, value, f'{value}\n({value/sum(db_cons_sentiment.values)*100:.1f}%)', ha='center', va='bottom')

# Plot the distribution of negative sentiment for N26 in the fourth subplot
n26_cons_sentiment.plot(kind='bar', ax=axes[1, 1], color=[sentiment_custom_colors[label] for label in n26_cons_sentiment.index])
axes[1, 1].set_title('Distribution of Negative Employee Sentiment (Cons_cleaned) while Working at N26')
axes[1, 1].set_xlabel('Sentiment')
axes[1, 1].set_ylabel('Count')
axes[1, 1].tick_params(axis='x', rotation=360)  # Rotate x-axis labels by 360 degrees

# Add count and percentage labels on the bar plot for N26 Cons
for index, value in enumerate(n26_cons_sentiment.values):
    axes[1, 1].text(index, value, f'{value}\n({value/sum(n26_cons_sentiment.values)*100:.1f}%)', ha='center', va='bottom')

# Adjust the layout so there's no overlap
plt.tight_layout()
plt.show()

For the positive reviews, the "Pros_cleaned" chart of Deutsche Bank shows a large majority of sentiments are positive (76% or 152 comments), with a smaller proportion being neutral (21.5% or 43 comments) and very few negative (2.5% or 5 comments). Meanwhile, the "Pros_cleaned" chart of N26 also displays predominantly positive sentiments (81.5% or 163 comments), accompanied by a moderate amount of neutral (17% or 34 comments) and a minimal number of negative sentiments (1.5% or 3 comments).

For the negative side, the "Cons_cleaned" chart of Deutsche Bank presents a predominant negative sentiment (41.5% or 83 comments), followed by a substantial neutral sentiment (37.5% or 75 comments), and some positive sentiment (21% or 42 comments). On the other hand, the "Cons_cleaned" chart of N26 is slightly different to Deutsche Bank's, with neutral sentiments being the majority (35.5% or 71 comments), negative sentiments in the middle (33% or 66 comments), and positive sentiments being the least (31.5% or 63 comments).

Overall, it could safely say that N26’s employees tend to express slightly more positive sentiments compared to those at Deutsche Bank. However, the sentiment among Deutsche Bank employees appears to be more negative overall. Interestingly, while the majority of negative comments at Deutsche Bank lean towards a negative sentiment, N26 exhibits a different pattern, with a significant portion of negative comments being perceived as neutral.

4. Results

To achieve my research question (how do employee reviews reflect the differences in job satisfaction and organizational culture between traditional banks (Deutsche Bank) and FinTech companies (N26)?), I aim to create a comprehensive analysis by initializing a dictionary to track the count of sentiments associated with specific keywords (salary, benefits, colleague, team, manager, leader, management, work-life balance, culture, environment, promotion, career, growth, and opportunity). The sentiments are categorized as positive, neutral, and negative with different keywords, providing insights into the sentiment distribution with various work aspects of employee experiences at both Deutsche Bank and N26.

# Keywords to track
keywords = ['salary', 'benefit', 'colleague', 'team', 'manager', 'leader', 'management', 'work life balance', 'culture', 'environment', 'promotion', 'career', 'growth', 'opportunity']

# Initialize a dictionary to hold the count of sentiments by keyword
sentiment_counts = {keyword: {'positive': 0, 'neutral': 0, 'negative': 0} for keyword in keywords}

# Function to update counts
def update_counts(text, sentiment):
    for keyword in keywords:
        if keyword in text.lower():
            sentiment_counts[keyword][sentiment] += 1

# Analyze sentiment and update counts for Deutsche Bank
for index, row in db.iterrows():
    pros_sentiment = sentiment_label(row['Pros_cleaned'])
    cons_sentiment = sentiment_label(row['Cons_cleaned'])
    update_counts(row['Pros_cleaned'], pros_sentiment)
    update_counts(row['Cons_cleaned'], cons_sentiment)

# Plotting
fig, ax = plt.subplots(figsize=(20, 8))

# Plot data
for i, keyword in enumerate(keywords):
    negative_count = sentiment_counts[keyword]['negative']
    neutral_count = sentiment_counts[keyword]['neutral']
    positive_count = sentiment_counts[keyword]['positive']
    
    total_count = negative_count + neutral_count + positive_count
    negative_percentage = (negative_count / total_count) * 100
    neutral_percentage = (neutral_count / total_count) * 100
    positive_percentage = (positive_count / total_count) * 100
    
    ax.bar(i - 0.2, negative_count, width=0.2, color='firebrick', align='center', label='negative' if i == 0 else "")
    ax.bar(i, neutral_count, width=0.2, color='orange', align='center', label='neutral' if i == 0 else "")
    ax.bar(i + 0.2, positive_count, width=0.2, color='green', align='center', label='positive' if i == 0 else "")
    
    ax.text(i - 0.2, negative_count, f'{negative_percentage:.1f}%', ha='center', va='bottom')
    ax.text(i, neutral_count, f'{neutral_percentage:.1f}%', ha='center', va='top')
    ax.text(i + 0.2, positive_count, f'{positive_percentage:.1f}%', ha='center', va='bottom')

# Labels and titles
ax.set_ylabel('Counts')
ax.set_title('Employee Sentiment Distribution with Various Aspects while Working at Deutsche Bank')
ax.set_xticks(range(len(keywords)))
ax.set_xticklabels(keywords, rotation=45, ha='right')
ax.legend()

plt.show()

# Keywords to track
keywords = ['salary', 'benefit', 'colleague', 'team', 'manager', 'leader', 'management', 'work life balance', 'culture', 'environment', 'promotion', 'career', 'growth', 'opportunity']

# Initialize a dictionary to hold the count of sentiments by keyword
sentiment_counts = {keyword: {'positive': 0, 'neutral': 0, 'negative': 0} for keyword in keywords}

# Function to update counts
def update_counts(text, sentiment):
    for keyword in keywords:
        if keyword in text.lower():
            sentiment_counts[keyword][sentiment] += 1

# Analyze sentiment and update counts for Deutsche Bank
for index, row in n26.iterrows():
    pros_sentiment = sentiment_label(row['Pros_cleaned'])
    cons_sentiment = sentiment_label(row['Cons_cleaned'])
    update_counts(row['Pros_cleaned'], pros_sentiment)
    update_counts(row['Cons_cleaned'], cons_sentiment)

# Plotting
fig, ax = plt.subplots(figsize=(20, 8))

# Plot data
for i, keyword in enumerate(keywords):
    negative_count = sentiment_counts[keyword]['negative']
    neutral_count = sentiment_counts[keyword]['neutral']
    positive_count = sentiment_counts[keyword]['positive']
    
    total_count = negative_count + neutral_count + positive_count
    negative_percentage = (negative_count / total_count) * 100
    neutral_percentage = (neutral_count / total_count) * 100
    positive_percentage = (positive_count / total_count) * 100
    
    ax.bar(i - 0.2, negative_count, width=0.2, color='firebrick', align='center', label='negative' if i == 0 else "")
    ax.bar(i, neutral_count, width=0.2, color='orange', align='center', label='neutral' if i == 0 else "")
    ax.bar(i + 0.2, positive_count, width=0.2, color='green', align='center', label='positive' if i == 0 else "")
    
    ax.text(i - 0.2, negative_count, f'{negative_percentage:.1f}%', ha='center', va='bottom')
    ax.text(i, neutral_count, f'{neutral_percentage:.1f}%', ha='center', va='top')
    ax.text(i + 0.2, positive_count, f'{positive_percentage:.1f}%', ha='center', va='bottom')

# Labels and titles
ax.set_ylabel('Counts')
ax.set_title('Employee Sentiment Distribution with Various Aspects while Working at N26')
ax.set_xticks(range(len(keywords)))
ax.set_xticklabels(keywords, rotation=45, ha='right')
ax.legend()

plt.show()

To compare employee sentiment between traditional banks (Deutsche Bank) and FinTech companies (N26), it is essential to consider various work aspects that may differ between the two types of organizations as follows:

(1) Compensation (‘salary’ and ‘benefit’): At Deutsche Bank, the sentiment towards ‘benefit’ leans predominantly positive, with approximately 55.6% of comments expressing satisfaction. However, the sentiment spread for ‘salary’ appears more balanced, with around 37.5% of comments being positive and negative, suggesting potential variations based on factors such as work experience and job positions. In contrast, N26 employees overwhelmingly express positive sentiments regarding both ‘salary’ (approximately 52.6%) and ‘benefits’ (around 70.4%). This indicates a notable difference in employee perception between the two organizations, with N26's compensation structures being well-received and potentially contributing to a positive organizational culture. The higher satisfaction levels at N26 may reflect a strategic emphasis on competitive and appealing remuneration packages to attract and retain talent in the rapidly evolving FinTech industry.

(2) Collaboration (‘colleague’ and ‘team’): Both companies exhibit a notably strong positive sentiment towards both the ‘colleague’ and ‘team’ aspects, with approximately 81.8% and 83.3% of comments expressing satisfaction with ‘colleagues’, and around 70.6% and 70.1% showing positivity towards ‘teamwork’ at Deutsche Bank and N26, respectively. These findings reflect a cohesive and supportive workplace culture characterized by peer support, teamwork, and collaboration in both organizations. However, it is noticeable that while the sentiment towards ‘team’ remains predominantly positive, there are some amount of negative and neutral sentiments across both companies. This nuanced sentiment distribution may indicate potential variations in individual relationships or experiences among staff members within the team dynamics.

(3) Management and Leadership (‘manager’, ‘leader’, and ‘management’): Both companies exhibit a predominantly positive sentiment towards the ‘manager’ and ‘leader’ aspects, with approximately 55.6% and 78.6% of comments expressing satisfaction with ‘manager’, and around 50% and 56.2% showing positivity towards ‘leader’ at Deutsche Bank and N26, respectively. However, there is a notable presence of negative sentiment towards ‘manager’, accounting for around 33.3% at Deutsche Bank, and towards ‘leader’, with 25% at N26. This suggests **a diverse employee experience that may correlate with different management levels or styles within each organization. While the majority of employees may express satisfaction with their leaders, the presence of negative feedback highlights the need for potential improvements, such as refining leadership practices or addressing specific concerns raised by employees. In contrast, N26 displays a higher level of negative sentiment, with approximately 43.9%* in ‘management’ aspect compared to Deutsche Bank. This disparity may indicate *challenges or dissatisfaction among N26 employees regarding leadership practices or organizational management structures.*** It suggests areas where N26 could focus on implementing strategies, such as fostering open communication channels between management and employees to foster a more positive and supportive work environment that aligns with the innovative and dynamic culture typically associated with FinTech companies.

(4) Work-Life Balance (‘work life balance’): Both companies tend to exhibit a strong positive sentiment in the ‘work life balance’ aspect, with interestingly Deutsche Bank showing a significantly higher level of positivity compared to N26, around 72.2% and 66.7%, respectively. This suggests that employees at Deutsche Bank may perceive the organization as placing a greater emphasis on promoting and maintaining a healthy work-life balance compared to their counterparts at N26. The higher level of positivity in this aspect at Deutsche Bank may indicate that the traditional bank has implemented effective policies, practices, and initiatives to support employees in achieving a satisfactory balance between their professional and personal lives.

(5) Company Culture (‘culture’ and ‘environment’): Employees of both companies perceive significantly positive sentiment in the ‘culture’ and ‘environment’, with approximately 81% and 66.7% of comments expressing satisfaction with ‘culture’, and around 74.1% and 76.6% showing positivity towards ‘environment’ at Deutsche Bank and N26, respectively. This indicates that employees feel supported, valued, and comfortable in their respective work settings at both organizations.

(6) Career Progression (‘promotion’, ‘career’, ‘growth’, and ‘opportunity’): At Deutsche Bank, the sentiment regarding career opportunities seems more mixed, with a considerable number of employees reporting neutral experiences. The distribution of sentiments is fairly even across positive, neutral, and negative, which suggests that experiences with career opportunities may vary widely among employees. For instance, while the ‘career’ and ‘opportunity’ aspects show positivity in sentiment, around 39.1% and 50%, respectively, the sentiment towards ‘growth’ appears to be neutral, with approximately 57.1%. Notably, the aspect of ‘promotion’ exhibits a significantly high level of negativity, around 64.3%. This could indicate that while employees at Deutsche Bank may perceive opportunities for career advancement, there could be perceived barriers or inconsistencies in the process or availability of promotions, leading to dissatisfaction or frustration among some employees. For N26, there is a significantly higher proportion of positive sentiments related to the ‘career’, ‘growth', and ‘opportunity’ aspects, with approximately 50%, 66.7%, and 83.9%, respectively, except ‘promotion’, which shows a higher prevalence of negative sentiment, at around 44.4%. The majority of employees have shared positive reviews, indicating a strong culture of promoting career growth and providing opportunities within the FinTech company. The low percentage of negative sentiment might suggest that barriers to career advancement are less common, or that such issues are not as impactful on employees' perceptions of their career opportunities at N26. Overall, N26 appears to have a more favorable employee perception of career opportunities when compared to Deutsche Bank. The high positive sentiment at N26 could be reflective of a dynamic, growth-oriented culture often found in FinTech startups, which may provide more agility and openness to employee advancement. In contrast, the more traditional and possibly hierarchical structure at Deutsche Bank might contribute to the mixed feelings, as progression may be seen as more rigid or conventional.

7.1 Conclusion

In summary, my analysis of employee reviews provides clear differences in job satisfaction and organizational culture between Deutsche Bank, a traditional bank, and N26, a FinTech company. While both exhibit strengths in collaboration, work-life balance, and company culture, distinct perceptions emerge in compensation and career progression. N26 employees express predominantly positivity towards salary, benefits, and career opportunities, reflecting a robust emphasis on competitive compensation and a growth-oriented culture. In contrast, while Deutsche Bank receives favorable feedback on benefits, sentiments towards salary are more nuanced, suggesting potential variations in compensation satisfaction. Additionally, perceptions of management and leadership differ, with Deutsche Bank generally exhibiting higher satisfaction levels. Conversely, negative sentiment towards management is more prevalent at N26, suggesting potential challenges in leadership practices. Overall, these insights underscore the imperative for traditional banks to adapt to changing employee expectations and industry dynamics to enhance job satisfaction and foster a positive organizational culture, aligning with the practices seen in innovative FinTech companies like N26.

7.2 Limitations

However, I acknowledge that these findings may not completely represent the experiences of all employees within traditional banks and FinTech companies. Therefore, it is essential to consider the following limitations.

(1) Bias in Reviews: Glassdoor reviews may be biased, as extreme opinions are more likely to be expressed, potentially skewing the analysis.

(2) Temporal Considerations: Employee sentiments can change over time due to various factors. Analyzing reviews at a single point may not capture these variations adequately.

(3) Data Quality: Data reliability from Glassdoor reviews varies, and automated sentiment analysis may not always accurately capture nuances.

(4) Generalizability: Findings from Deutsche Bank and N26 reviews may not apply to all traditional banks or FinTech firms in Germany due to factors like organizational culture and location.

(5) Limited Scope: Reviews from Glassdoor may not capture all work aspects of the employee experience such as attitudes toward innovation and technology adoption, including diversity and inclusion efforts.

Addressing these limitations will lead to a more comprehensive assessment of the project's constraints and considerations.

7.3 Outlook

To conduct a more comprehensive comparative analysis, it is valuable to explore additional methods for further research and to consider the potential applications of the findings.

(1) Further Comparative Analysis: Including more traditional banks and FinTech firms in diverse regions or similar market scales can provide a broader perspective on job satisfaction and organizational culture in Germany's banking sector.

(2) Longitudinal Study: Tracking changes in employee sentiment over time within Deutsche Bank and N26 could reveal trends or patterns in job satisfaction and organizational culture evolution.

(3) Impact of External Factors: Exploring how regulations, market trends, and technological advancements interact with job satisfaction and organizational culture can enhance the interpretation of findings.

(4) Employee Retention and Performance: Analyzing the relationship between employee sentiment, retention rates, and performance metrics could provide actionable insights for human resource management.

(5) Cross-Cultural Analysis: Conducting cross-cultural analyses on job satisfaction between traditional banks and FinTech companies can assess the impact of cultural factors across diverse contexts.

Exploring these methods can provide valuable insights into job satisfaction, organizational culture, and employee sentiment within the banking sector.

Bordoloi, M., & Biswas, S. K. (2023). Sentiment analysis: A survey on design framework, applications and future scopes. Artificial intelligence review, 1–56. Advance online publication. https://doi.org/10.1007/s10462-023-10442-2

Chin, Chiew. (2020). Text Analytics On Company Reviews In Jobstreet. European Proceedings of Social and Behavioural Sciences. https://www.researchgate.net/publication/340293535_Text_Analytics_On_Company_Reviews_In_Jobstreet

Feng, S. (2023). Job satisfaction, management sentiment, and financial performance: Text analysis with job reviews from indeed.com. International Journal of Information Management Data Insights. https://www.sciencedirect.com/science/article/pii/S2667096823000022

Frank, F. F., & Whittle, T. E. (n.d.). Predicting company ratings through Glassdoor Reviews. Department of Management Science and Engineering Stanford University. https://web.stanford.edu/class/archive/cs/cs224n/cs224n.1184/reports/6880837.pdf

H. Yadav, K. Dwivedi and G. Abirami. (2022). Sentiment Analysis of company reviews using Machine Learning. 2022 3rd International Conference for Emerging Technology (INCET), Belgaum, India. https://ieeexplore.ieee.org/document/9824505

Höllig, C. E. (2021). Online Employer Reviews: Text-Mining Analyses of Contents, Effects, and Employer Responsiveness. TUM School of Management. https://mediatum.ub.tum.de/doc/1594000/1594000.pdf

Jung, Y., & Suh, Y. (2019). Mining the voice of employees: A text mining approach to identifying and analyzing job satisfaction factors from online employee reviews. Decis. Support Syst., 123. https://api.semanticscholar.org/CorpusID:196185822

Luo, N., Zhou, Y., & Shon, J. (2016). Employee Satisfaction and Corporate Performance: Mining Employee Reviews on Glassdoor.com. International Conference on Interaction Sciences. https://core.ac.uk/download/pdf/301370386.pdf

Martinez, L. D. (2019). Improving employee satisfaction through text analytics. SESUG Paper. https://www.lexjansen.com/sesug/2019/SESUG2019_Paper-243_Final_PDF.pdf

Morshed Adib, Muhammed & Chakraborty, Sovon & Waishy, Mashiwat & Mehedi, Md Humaion Kabir & Rasel, Annajiat Alim. (2023). BiLSTM-ANN Based Employee Job Satisfaction Analysis from Glassdoor Data Using Web Scraping. Procedia Computer Science. https://www.researchgate.net/publication/373570703_BiLSTM-ANN_Based_Employee_Job_Satisfaction_Analysis_from_Glassdoor_Data_Using_Web_Scraping

Ramanathan, V. & Thirunavukkarasu, M. (2019). Prediction of Individual’s Character in Social Media Using Contextual Semantic Sentiment Analysis. Mobile Networks and Applications. 24. https://doi.org/10.1007/s11036-019-01388-3

Uchida, E., Kino, Y. (2021). Study on the relationship between employee satisfaction and corporate performance in Japan via text mining. Procedia Computer Science. https://www.sciencedirect.com/science/article/pii/S1877050921016732

Uyeno, L. (2020). An empirical analysis of company culture: Using Glassdoor data to measure the impact of culture and employee satisfaction on performance. Scholarship @ Claremont. https://scholarship.claremont.edu/cmc_theses/2293/

Young, L. M., & Gavade, S. R. (2018). Translating emotional insights from hospitality employees’ comments: Using sentiment analysis to understand job satisfaction. International Hospitality Review. https://www.emerald.com/insight/content/doi/10.1108/IHR-08-2018-0007/full/html